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Comparison Buyer's Guide
Executive Summary
Updated on August 25, 2022

We performed a comparison between AppDynamics vs Datadog based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: Users of both AppDynamics and Datadog report straightforward and simple setup and deployment, though some Datadog users mention mild complexity.
  • Features: Users of both products are happy with their flexibility, stability, and scalability.

    AppDynamics users say it has robust automation and customization abilities. Some users mention that there are many KPIs not available in AppDynamics.

    Datadog users like its AI and ML capabilities, along with its cloud and analysis monitoring, but mention its lack of deeper application-level insight and ET functionality.
  • Pricing: AppDynamics users report the product being pricey but worthwhile. Datadog users report high pricing with some dissatisfaction with the licensing structure and packages.
  • ROI: A few AppDynamics users report high ROI. Datadog users do not mention ROI.
  • Service and Support: Users of both products report satisfaction with the level of response and support they receive. Datadog users report 24/7 support, whereas AppDynamics users report that support may not always be on standby.

Comparison Results: AppDynamics has an edge in this comparison because it received higher marks in the ease of deployment, pricing, and ROI categories.

To learn more, read our detailed AppDynamics vs. Datadog report (Updated: August 2022).
632,611 professionals have used our research since 2012.
Q&A Highlights
Question: Any advice about APM solutions?
Answer: The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not found one capable to give me solutions they all report you have a problem but you need to figure out what the problems is. So we have decided to develop our own AI and it is not only monitoring OSI layer 1 -3 but layer 1-8 as well it give you a solution what has been wrong based on delays in transactions combined with security. We have deployed this now across healthcare in the USA as well Airports but it is working on every industry and working in a SaaS solution. But if I have a chose between the tools you mentioned, Dynatrace is the best choose it is easy to install and has a great interface. Also it has almost no configuration.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We appreciate the way that this solution allows us to monitor the ongoing status of the UI at any given time.""The VPN is one of the solution's most valuable features for us.""The monitoring so far has been good and we are happy with it.""The simplicity of the dashboard is very good.""There are many valuable features in New Relic APM. We developed some software applications and we are able to monitor the errors very easily. Their log security retention is very good.""The stability of New Relic APM is very good.""The alert mechanism is quite accurate when something goes wrong in your system. For example, if you have hundreds of APIs on your server, and any of the APIs is not performing well, you get an alert. When there is a drop or change in the threshold value, the beauty of New Relic is that within a fraction of seconds, all the stakeholders who are configured in the New Relic system will get an alert. That's one good thing.""We like the performance of the product."

More New Relic APM Pros →

"AppDynamics is easy to implement if you follow the documentation, and the documentation that they provide is good.""We're a large organization, so we appreciate AppDynamics' wide coverage. It may not work in all areas, but it has broad coverage. We can use the same dataset for different use case aspects. That is the beauty of AppDynamics. You can coordinate APM, EUM, and infrastructure through one dataset.""Transition tracing is the most valuable is pretty easy and useful, but the user experience piece is also good.""Capacity planning is, in my opinion, the most useful.""AppDynamics has been stable.""Technical support is helpful.""AppDynamics is scalable.""The solution helps us save a lot of time on certain tasks."

More AppDynamics Pros →

"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers.""The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure.""I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution.""The application performance monitoring is pretty good.""The fact that everything is under a single pane of glass is really valuable, as developers don't have to spend their time copying correlation IDs across tools to find what they need.""The ability to send notifications based on metadata from the monitor is helpful.""The most valuable feature of Datadog is its logs.""Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."

More Datadog Pros →

Cons
"There has been some problem with the agent, and it is just not working well. It is not able to record information with the application server. They have been able to fix the issue, but it took quite a long time. This is the main issue in the APM products and also in New Relic. The mobile application monitoring has been pretty difficult to set up and also quite expensive. It should be a little bit easier and cheaper. Because it is pretty difficult and expensive, many customers don't take it.""The solution is quite expensive.""The older view is much better than the new view that they have. We'd like to go back to that previous version. The user interface just isn't as nice as it used to be.""It is very difficult to award the service level cycles at an endpoint level.""How granular I could go down at looking at certain data, especially related to the operations, is limited.""We would like a dashboard feature to be created for this product. This would allow us to monitor both the front and back-end of our UIs performance, and then report on it.""One thing that we noticed was that historical information was only for a limited period, which was not helpful in certain scenarios. For example, if I want to size my system for an event for New Year or Christmas season based on the historical data, I won't be able to find the historical data. Currently, the data is limited to three months. It would be helpful if they can provide historical data for a longer duration so that we can plan our system accordingly.""New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."

More New Relic APM Cons →

"This solution is expensive.""The training on the dashboards that is provided could be a little bit better, as could the use cases. They should have some good examples out there. As it is right now, I had to scour YouTube to find some stuff.""AppDynamics lacks integration with cloud technology. It probably isn't a good fit for emerging enterprises because it's an on-premise solution, and many newer companies are moving to the cloud. AppDynamics' on-premise technology works reasonably well, but it doesn't have cloud features.""If AppDynamics could do a one-agent function with their actual monitoring effectiveness, it will be the greatest tool.""At this time, we don't have much visibility on the virtual environment, monitoring, and all other things. We have visibility only for database monitoring, and we have noticed performance impact when deploying database agents on the database server. We got to know this from AppDynamics support also that we should not deploy database agents from the database server. When agents are deployed on the same server and the database is monitored from there, we are not getting database server metrics. Therefore, we don't have those insights, and sometimes, we struggle because of that. They can improve this functionality so that we do not have a performance impact, and we can deploy anywhere. This would help us a lot. In terms of end-user monitoring, currently, it is not working for us because there are some complexities. It is a little complicated, and it takes a little bit of time to understand where you need to make changes. It would be very helpful if they can provide some template designs for end-user monitoring. When our servers are running on VMs, we don't get many insights from the VM side. I don't know whether it is possible to have visibility beyond the database, server, and application and whether there are some features where we can deploy AppDynamics on VMs as well. Such functionality would give us more control over storage, VM, OS, and database. It will also provide complete visibility of our hardware and software.""AppDynamics's agent management could be improved.""The overall performance of this solution could be improved. The hot-hot infrastructure features could also be improved.""There are too many installers available for this solution."

More AppDynamics Cons →

"Could be a little more user friendly.""Datadog could be improved if it could detect other software in a container or server.""Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites.""We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts.""The setup was a bit complex.""Deploying the agents is still very manual.""The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts.""I think better access to their engineers when we have a problem could be better."

More Datadog Cons →

Pricing and Cost Advice
  • "The price was one of the reasons we chose this solution."
  • "I think the pricing is reasonable."
  • "The price of the solution could be less expensive. You have to pay a lot for each user. There is an additional cost for extra features."
  • "This is an expensive tool."
  • "The price of New Relic APM could be less expensive. We are using the New Relic APM pro account and it is more costly. When compared to competitors the solution's pricing should be much more realistic."
  • "If I remember it correctly, the pricing was based on the core, and the monthly subscription used to cost us $1,500 or $2,000. We had pre-prod and production services. Costing was different for pre-prod and production. For pre-prod, it was 40% less than the production service cost. It was a combined package."
  • More New Relic APM Pricing and Cost Advice →

  • "We do not have any issues with the price."
  • "As compared to other applications, its price is moderate. Its price is neither very high nor very low."
  • "There is a license for the solution and we paid approximately $2,000. There is also an additional cost above the standard license which cost us approximately $3,000."
  • "This solution is not the cheapest but it works well. You will end up doing more work with a cheaper solution than if you just spent the extra money on a better solution like this one."
  • "For those who appreciate the value and had issues with the visibility of the performance of their applications, then the pricing is good. For somebody who does not need it, it can be pricey, but overall, it is worth the money which it costs."
  • "I was not involved with the procurement of AppDynamic, but I believe it's expensive."
  • "There is a license to use this solution. However, the clients pay for the licenses we are the service provider."
  • "The price of AppDynamics could be reduced in my region."
  • More AppDynamics Pricing and Cost Advice →

  • "Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
  • "It is easy to run up a large bill, so become familiar with the cost of each piece of your bill and use the metrics they supply to estimate and monitor your bill."
  • "Pricing seemed easy until the bill came in and some things were not accounted for."
  • "The cost is high and this can be justified if the scale of the environment is big."
  • "My advice is to really keep an eye on your overage costs, as they can spiral really fast."
  • "If you do your homework, you'll find that if you're really concerned with cost, it's good."
  • "It has a module-based pricing model."
  • "I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
  • More Datadog Pricing and Cost Advice →

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    Use our free recommendation engine to learn which Application Performance Management (APM) solutions are best for your needs.
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    Answers from the Community
    SystemsEngineer234z
    Adrian Antonypillai - PeerSpot reviewerAdrian Antonypillai
    User

    We are currently going through a paper-based analysis to select an Enterprise APM solution.


    Our Contenders are


    1. Dynatrace


    2. Cisco(AppDynamics)


    3. Broadcom DX-APM


    Shortlisted based on existing relationships with other products and services they provide.


    We discounted New Relic- despite their growing capability - as they are yet to enter the enterprise APM solution scene.


    With regards to your response "We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing .." :


    Will you be willing to expand on Appd - what was your experience and issues w.r.t licensing. These could help us with our evaluation. Much appreciated. Regards Adrian

    Hani Khalil - PeerSpot reviewerHani Khalil
    Real User

    Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.

    Neryub Khan - PeerSpot reviewerNeryub Khan
    Real User

    Thanks 

    Questions from the Community
    Top Answer:There are many factors and we know little about your requirements (size of org, technology stack, management systems… more »
    Top Answer:We appreciate the way that this solution allows us to monitor the ongoing status of the UI at any given time.
    Top Answer:The price of New Relic APM could be less expensive. We are using the New Relic APM pro account and it is more costly… more »
    Top Answer:AppDynamics' best feature is automation - for example, when I add a note, it can understand the data automatically.
    Top Answer:AppDynamics is really pricey as it requires licenses for every feature.
    Top Answer:The Log Analytics feature is a bit complicated. There are also some bugs in the solution that need to be fixed.
    Top Answer:With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times… more »
    Top Answer:Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the… more »
    Top Answer:I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive… more »
    Product Features

    What are the main differentiators of your solution?

    AppDynamics automatically discovers and monitors every dependency and business transaction out of the box (no manual instrumentation required). AppDynamics proprietary Dynamic Baselining takes seasonality of your application into account and proactively alerts you on every slow transaction (not just the slowest) and does not require the disabling of monitoring functionality as a compromise to limit overhead. AppDynamics allows you to isolate and resolve issues all from one tightly integrated platform rather than stitched together products.


    What are the most popular 3rd party integrations with your solution?

    AWS, Azure, ServiceNow, Jira, Docker, PagerDuty, ElasticSearch, Jenkins, Chef, Puppet, Tibco, OpenStack, Splunk, Nagios, Vmware vSphere, RabbitMQ, Redis, BPPM, Pingdom, Hadoop, NGINX, HP Operations Manager, Apica, Rackspace, Slack, Atlassian.

    Deployment

    On-premise deployment

    With AppDynamics companies have the ability to launch agents via an on-premises install or SaaS deployment, depending on security and compliance needs.


    Can be deployed on AWS

    As a premier partner within the AWS Marketplace, AppDynamics provides end-to-end monitoring of cloud native applications on AWS, real-time performance monitoring across on-premises and AWS environments and helps accelerate and validate cloud migration.


    Can be deployed on Azure

    AppDynamics supports the following environments on Microsoft Azure: Azure Cloud Services (PaaS)(Including web and worker roles),Virtual Machines (IaaS), Remote Service Detection (Microsoft Azure Service Bus),Microsoft Azure Queue Microsoft Azure Remote Services (Azure Blob), Azure Queue (Microsoft Service Bus), Data Storage, Microsoft Azure Blob Storage.


    Can be deployed in a private cloud

    AppDynamics can monitor applications in private, public, and hybrid cloud environments.


    Monitor on-premise applications in virtualized environments

    AppDynamics can monitor applications in on-premises environments in virtualized environments. You simply need to have access to place an agent on the VM, and have external access to the AppDynamics Controller.


    Monitor applications running on AWS and Azure

    AppDynamics has partnerships with both AWS and Azure. You can monitor applications running in either environment and gather statistics specific to those environments.


    Monitor applications running on Pivotal Cloud Foundry, Redhat OpenShift and Heroku

    AppDynamics supports applications running on all major PAAS providers. For popular platforms like Pivotal we have a tight integration providing end users with visibility and control into an application infrastructure.

    Configuration and Infrastructure

    Configuration and management through a single, web-based user interface

    AppDynamics can be implemented and configured quickly and simply and provides visibility into your entire application topology from a single intuitive web-based UI.


    Automatically create a visualization of the entire application topology with all components.

    The technology automatically determines what details should be shown and what details should be hidden as you zoom in and out on application flow map. The flow map allows users to visualize your entire web scale application. Users can also zoom in on any node for more details about the health of the associated components along with information useful for troubleshooting problems.


    Automatically discover business transactions

    AppDynamics agents will automatically discover and identify the methods, classes or web services that service transaction entry points. Requests that follow similar code paths are categorized as instances of a single business transaction.

    Automatically discover standard back end systems (database, web services, SAP etc.)

    Agent automatically discover common types of remote services as backend systems based on the exit point.


    Discover and display non-standard backend systems through point-and-click configuration

    If AppDynamics doesn't automatically detect the backend, you can manually define a custom match rule to discover specific backends in your environment.


    Automatically baseline every component within the business transaction

    Our agents watch every line of code and monitor application traffic patterns to update dynamic baselines of acceptable performance. When transactions experience slowdowns, Appdynamics can automatically trigger diagnostic actions based on health rules.


    Can be deployed in a multi-tenant environment

    Yes. Clients can also switch from a single-tenancy to a multi-tenancy mode. However switching from a multi-tenancy to a single-tenancy is not supported.

    Application Visibility and Control

    Provide correlated views of distributed business transactions between tiers/services

    AppDynamics provides visibility into the transaction logs that can be correlated to specific business transaction requests. Log correlation visibility requires a license for both Transaction Analytics and Log Analytics


    Automatically baseline every component within the Business Transaction

    The AppDynamics platform automatically calculates dynamic baselines for your metrics, defining what is "normal" for each metric based on actual usage.


    Provide code level diagnostics (class and method-level visibility) of business transactions

    AppDynamics offers code-level diagnostics and end-to-end visibility.


    Monitor JVM health information (heap, GC, generational spaces, etc.)

    In addition to monitoring JVM head information you can also can set up health rules based on JVM or JMX metrics.


    Monitor CPU utilization, OS memory usage, disk I/O, network I/O, other hardware metrics

    Machine agents can monitor and report on memory metrics, disck and paetition metrics, volume metrics, load metrics, machine metrics, network metrics, process metrics, service avaiablitity metrics, disk usage metrics free/used memory metrics and viewing hardware metrics, amongst other things.


    Report application errors and exceptions

    The Controller UI presents information on errors and exceptions in various places in the UI, including in transaction snapshots, metrics, and dashboards


    Automatically monitor entire call stack when application problems occur

    AppDynamics automatically collects full call stack traces for slow transactions, stalls and errors, allowing you to drill down to the class and method level in your production environment


    Does not disable monitoring functionality as a compromise to limit product overhead

    By default, AppDynamics monitors your production applications for maximum visibility with the least operational overhead. In non-production environments where agent overhead is not an issue, you can enable development mode in AppDynamics. Development mode removes overhead-related restrictions so agents can collect more diagnostic data.


    Historical performance monitoring and trending

    Analyze and alert based on storage performance trends over time, and use this information to proactively tune performance to improve resource efficiency and optimize the end-user experience.


    Full view of infrastructure details without leaving the context of business transactions

    Infrastructure Visibility provides end-to-end visibility into the hardware and networks on which your applications run. You can use Infrastructure Visibility to identify and troubleshoot problems that affect application performance such as server failures, JVM crashes, and hardware resource utilization. When you add End-User Monitoring to Application Performance Management, you can correlate business transaction performance to the user experience for those transactions


    Single UI for server and application monitoring

    Regardless of how complex your application may be, AppDynamics allows you to monitor everything from a single UI


    Alert on deviation from baseline

    "AppDynamics provides default health rules for business transaction performance:

    • Business Transaction response time is much higher than normal

    • Business Transaction error rate is much higher than normal"

    Mean Time To Repair

    Identify slow and stalled business transactions without manual intervention

    You may receive a notification email or SMS based on a health rule violation or see performance indicators in flow maps or transaction scorecards.


    Count, measure and score every transaction

    The business transaction list contains a high level look at the performance of the business application by transaction. You can click on a particular business transaction to access additional information on the business transaction, such as information on slow performing instances of this transaction, errors, and the transaction analysis view.


    Identify error business transactions without manual intervention

    AppDynamics will automatically detect application errors for each business transaction.


    Identify slow SQL queries without manual intervention

    You can monitor all your database platforms such as MySQL, PostgreSQL, DB2, SQL Server,etc and view all that your end users perform from the browser to the database


    Identify slow backend systems or external services without manual intervention

    AppDynamics automatically detects backend services and external calls. These can be seen in the application flowmap, transaction snapshots, and an individual component showing all remote services.


    Automatically discover code deadlocks

    By default the agent detects code deadlocks. You can find deadlocks and see their details using the Events list or the REST API.


    Provide quick cross launching into problem areas within the UI through hyperlinked alerts

    Within AppDynamics, you have the ability to set up custom health rules and actions. By doing this, you can be alerted when errors or latency is experienced in the application. Through a number of actions, you can be alerted with a hyperlink and jump straight to the issue through the link.


    Automatically send email containing hyperlink to identified problem

    In AppDynamics you can set up rules to automatically send alerts to a number of email


    Automatic analysis of end-to-end APM data to provide root cause analysis

    AppDynamics automatically detects transactions and the performance of those through our automatic dynamic baseline. From there, root cause analysis is performed and captured in the Transaction Snapshots for you to diagnose.

    Business Transactions

    Automatically discover business transactions

    AppDynamics agents watch every line of code and monitor application traffic patterns to update dynamic baselines of acceptable performance. When transactions experience slowdowns, Appdynamics can automatically trigger diagnostic actions based on health rules.


    Automatically learn and baseline performance of discovered business transactions

    The dynamic baseline will automatically discover the performance of each transaction.


    Automatically count, measure and score every transaction

    AppDynamics automatically counts, measures, and scores each transaction that passes through the application server by performing byte-code instrumentation.


    Discover synchronous, asynchronous and multi-threaded business transactions

    AppDynamics supports the discovery of syncronous, asyncronous, and multi-threaded transactions with our business transaction discovery.

    Business Metrics

    Provide visibility into the impact of outages on business metrics

    When you set up data collectors, you are able to pull out business data and report and alert of them. With our analyics, you can extend the visibility by running queries against all the data that is collected.


    Capture business metrics (e.g. revenue, orders) from applications and background jobs

    When you set up data collectors, you are able to pull out business data and report and alert of them. With our analytics, you can extend the visibility by running queries against all the data that is collected.


    Enables creation of custom dashboards for business metrics and application behavior

    AppDynamics has the ability to create custom dashboards to represent business and transaction data.


    Out of the box reports on business transaction summary and trends

    AppDynamics provides out of the box reports for transaction and application data. These can be generated on a schedule or on demand.


    Automatically correlate business transactions with environment monitoring (OS, JMX, etc.)

    AppDynamics automatically correlates business transaction data with the server and infrastructure data.

    Usability

    Browser-based web client

    The AppDynamics UI is an HTML 5-based browser application


    Automatic and dynamic baselining of all metrics to reduce false alarms

    AppDynamics automatically calculates what constitutes the baseline for your application environment, that is, the prevailing performance characteristics for your environment. Once it calculates the baselines, AppDynamics can detect conditions that may be considered anomalies for your application.


    Include an online virtual collaboration space as a virtual "war room"

    Users can access war room creation within the troubleshoot navigation menu. Other widgets, and templates are also available.


    Visualize multiple applications and the connectivity / dependencies between them

    AppDynamics provides cross-app correlation to show transaction flow between multiple AppDynamics applications.


    Enable sharing of analysis / visualizations without having to export data from the UI

    There are a few ways to share data without having to export the data. One is to create a war room and discuss the issues between multiple people within the UI. Also, with Role Based Access Control, every user should have specific access into AppDynamics. You can share links to those that have a login, and the exact screen is loaded for the user.


    Group transactions using a Session ID and display transactions in order of execution

    You can sort transactions by session ID and transaction time among many other fields.


    Drill down from business transaction to correlated log file entries in single platform

    AppDynamics provides a way to correlate Business Transactions to associated Log entries.

    Historical Trending

    Trending with metric persistence to do historical analysis and compare to baselines

    In AppDynamics, you can compare time frames or releases to understand performance changes over time. Also through dashboard creation, you can visualize performance trends in the baselines over time.


    The ability to view and drill into Flow Map for extended periods up to 1 year

    You can access AppDynamics performance data for up to a year in time.


    The ability to compare Flow Maps from different time frames for up to 2 years

    Up to 1 year

    Support for Agile

    Dynamic instrumentation of the application

    When you instrument AppDynamics agents, the flowmap and data is automatically created and captured. As you scale your application up and down, AppDynamics will dynamically pick up the changes and present them in the UI.


    No need to reconfigure agent instrumentation when new app releases are deployed

    A user would only need to reconfigure an agent if they switched programming languages.


    Automatically pick up application configuration changes as a result of agile releases

    Yes. The flow map visualizations allow teams to see the differences in transaction flow between configurations, releases, sprints, etc.


    Regression analysis to compare and highlight app performance improvements

    Yes. User can create application deployment events, which can be used for regression analysis, root cause analysis and performance studies.


    Provide capability to compare business transactions flows for different releases

    Yes. In compare releases, you can compare performance for business transactions between two different time frames.

    Pre-Production Performance Tuning

    Identify the longest running methods in business transactions

    In the Transaction Snapshots, you will be presented with the longest running methods.


    Determine the relationship between increased load and application response time

    In the AppDynamics graphs and snapshots, you can determine the relationship between load and response time.


    Identify worst backend calls (Database, Web Services, other backend) automatically

    AppDynamics will automatically discover the backends in the environment as well as categorize the slowest and most expensive calls.


    Provide business transaction performance change from one code release to the next

    Yes. In compare releases, you can compare performance for business transactions between two different time frames.

    Scalability and Infrastructure

    Support at least 5000 agents on a single platform without requiring data federation

    AppDynamics can scale to up to over 5000 agents to a single platform. You also have the ability to run the controller on your premises or in the AppDynamics SaaS environment. If on-premises, you will have to size accordingly.


    Ability to support high availability APM infrastructure servers

    AppDynmaics provides a high availability tool kit to support HA.


    Has steady network traffic between agent and APM server regardless of transaction levels

    The AppDynamics agents constantly communicate with the controller no matter how much load is on the application.


    Encrypt data transmissions end-to-end across the environment

    AppDynamics encrypts data over HTTP(s) in transit but it does not encrpyt data at rest.


    Agentless monitoring

    AppDynamics Database Monitoring uses an agentless monitoring architecture that eliminates the management overhead and risk associated with deploying agents to database servers.

    Analytics

    Single UI incorporating Analytics and APM modules

    Yes


    Analytics UI is web browser based with no locally installed client software

    The AppDynamics UI is an HTML 5-based browser application


    Analytics layer providing intelligence across data collected by APM modules

    AppDynamics Application Intelligence Platform allows you to monitor, automate and analyze your application infrastructure.


    Scalable repository capable of collecting and storing large volume of metrics/events

    You can size your controller accordingly to fit the amount of volume you expect to collect. You also have the ability to change the default values for storage time and data.


    In context drill down between analytics data and APM data

    From the searches that are mande in analytics, you are able to directly drill down into APM application data.


    Graphical query builder for ease of use and broad adoption

    The entire AppDynamics platform is built for ease of use and broad adoption across the enterprise. In our Analytics, there is a graphical query builder that enables you to build searches quickly and easily.


    Ability to adjust timeframe via click and drag on dashboard charts

    You have the ability through a drop down to adjust the time frame back to a year or select a custom time range.


    Automated ranking (top N) of relevancy of every indexed field to current selection

    By default, Appdynamics will categorize your transactions into different categories by response time, errors, etc.


    Configurable to collect not all, but specific desired transaction data/fields

    AppDynamics has auto detection rules, however, you have the ability to change those rules or create specific Custom Match Rules to discover transactions and data.


    Alert off of metrics created in analytics based on search criteria

    You can create a metric from an analytics search that uses count as the function in the SELECT clause


    Analytics data collection does not require full call method stack data

    Within the AppDynamics UI, you can create Data Collectors to pull out transaction data.


    No code changes required to pull custom (non-native) metrics into data repository

    C++ requires an SDK with a few lines of code


    Data collected, stored and analyzed in near real time (i.e. not hours, days, or weeks later)

    Organizations can see the business impact of performance issues and outages in real time, allowing them to make important decisions and prioritize fixes on the fly, reducing the cost of performance incidents to the business.


    API to input custom metrics

    The AppDynamics APIs let you extend and customize various aspects of the AppDynamics Application Intelligence Platform


    Search API

    The AppDynamics Application Intelligence Platform exposes various APIs for customizing and extending its features. Some APIs include: Accounts API, Application Model API, Metric and Snapshot API, Alert and Respond API , Configuration API, Configuration Export and Import API , Analytics Events API.


    Ability to chart result set in custom dashboards

    AppDynamics provides full support for creating custom dashboards. You can also import JSON templates and create dashboards from that.


    Granular role-based access control (RBAC)

    Yes. App analytics provide RBAC to enable control and protection of your data.

    Log Analytics

    Ability to collect and store log files from monitored nodes

    Log Analytics collects, correlates, and analyzes your machine data to give you comprehensive real-time insights into operational performance.


    Log file data through TCP

    You have the ability to set up Log analytics by extracting analytics fields from syslog messages over TCP.


    Auto-inject business transaction identifier for each log statement

    Supported for two Java frameworks and requires a GUID configuration.


    Ability to extract any field from log file for processing

    Yes. The centralized log management UI enables you to configure your log files for processing

    Root Cause Analysis

    Historical performance monitoring and trending - retain 100% of historical data

    Yes and by default, snapshots are retained for two weeks, and individual snapshots can be archived


    Report top database activities (e.g. Top SQL, Top Users, Top Programs)

    Features of the Database Reports Windows

    • Top SQL Report
    • I/O Report
    • Time Series Comparison Report
    • Top Activity Report
    • Top SQL Report
    • Wait State Report

    Report database activity profile over-time (identify patterns)

    The information within the UI includes the metric identifier, date and time of the observation, along with other key performance metrics


    Collect and store all database wait events and correlate with SQL/Stored Procedures

    With AppDynamics Database monitoring, you are able to see individual queries and any wait events that are associated.


    Collect and store SQL/Stored Procedure KPIs (CPU, Count, Reads/Writes)

    AppDynamics DB monitoring will collect and store all SQL and stored procedures that hit the database and the corresponding KPIs.


    Collect and store database instance level statistics (table size, row count, indexes)

    Within the Database monitoring module, you can view more administrative statistics such as error logs, user information, tables, indexes, etc.


    Collect and store database server/host KPIs (CPU, Memory…)

    You can configure AppDynamics DB collectors to capture the host level metrics from where the DB instance is running.


    Ability to breakdown latency of stored procedure components

    In the DB Monitoring, you will be able to identify the Stored Procedure and where latency may be coming from.


    Collect SQL Explain and Execution plans

    You have the ability to view and download the Explain and Execution plans from the UI.


    Collect and store performance data on database objects (Schemas, tables, indexes)

    With AppDynamics Database monitoring, AppDynamics will collect and store DB performance data and the database object information.


    Ability to collect and correlate deep-dive storage information

    In AppDynamics Database module, you can view the storage information in the object browser.

    Database Monitoring

    Provide a real-time view of performance showing current database activity

    With AppDynamics' database monitoring, you can monitor and trend key performance metrics such as resource consumption, database objects, schema statistics and more, allowing you to proactively tune and fix issues before they affect end users.


    Provide a holistic view of all database performance through a multi-instance dashboard

    AppDynamics supports DB2, Oracle, Postgres, MySQL, and SQL Server, all from one central installation of AppDynamics. There's no need for separate database monitoring products for different databases -- with AppDynamics you see it all in a single pane-of-glass.


    Ability to send pro-active alerts based on health and performance of databases

    Get alerts when database thresholds are violated


    Static and dynamic alerting on collected database metrics

    You have the option to set performance alerts against both a dynamic baseline or a static threshold.

    Server Monitoring

    Monitor Machine availability

    The Standalone Machine Agent (Machine Agent) collects and displays CPU, Memory, Disk, and Network metrics on the Node Dashboard Server tab of the UI


    Monitor CPU usage

    AppDynamics provides alerts on Business Transaction and infrastructure metrics. To ensure that you get alerts when they really matter, these alerts must be based on algorithms that assess deviation from normal behavior.


    Monitor Disk performance

    An AppDynamics Machine Agent extension to alert if disk space crosses a warning or critical threshold. If a threshold is crossed, the extension will create a custom event upon which you can trigger a Policy + Action to get notified.


    Monitor Volume usage

    The following describes the columns available for the Server Volumes window.

    • Disk Usage %: The percentage of storage space in use.
    • I/O Utilization %: The percentage of time spent performing read and write operations.
    • I/O Rate read: The number of kilobytes per second of data read.
    • I/O Rate write: The number of kilobytes per second of data write.
    • I/O Operations per sec read: The number of read operations per second.
    • I/O Operations per sec write: The number of write operations per second.
    • I/O Wait Time read: The percentage of time the CPU was waiting for read operations to complete.
    • I/O Wait Time write: The percentage of time the CPU was waiting for write operations to complete.

    Monitor Machine load

    Reported for each machine


    Monitor Memory

    Reported for each hierarchical group.

    • Swap Free (MB): The total amount of free swap space.
    • Swap Total (MB): The total amount of allocated swap space.
    • Swap Used (MB): The amount of swap space used.
    • Swap Used %: The percentage of used swap space.
    • Swap Free %: Percentage of free swap space.

    Monitor SWAP

    Reported for each hierarchical group.

    • Swap Free (MB): The total amount of free swap space.
    • Swap Total (MB): The total amount of allocated swap space.
    • Swap Used (MB): The amount of swap space used.
    • Swap Used %: The percentage of used swap space.
    • Swap Free %: Percentage of free swap space.

    Monitor Processes

    Process Monitoring Extension gathers process metrics from a Linux/Windows/Solaris/AIX machine and reports to AppDynamics Controller.


    Monitor Network Adapter(s)

    With AppDynamics Server visibility, you can monitor the throughput and packets or the individual network interfaces.


    Dynamic Baselining

    AppDynamics automatically calculates what constitutes the baseline for your application environment, that is, the prevailing performance characteristics for your environment. Once it calculates the baselines, AppDynamics can detect conditions that may be considered anomalies for your application.


    Synthetic page checker

    AppDynamics offers synthetics which can run and monitor dynamics selenium scripts or a simple webpage. These page checks can be set to run on a specific schedule or can be generated on demand.

    Application Monitoring

    Identify JVM memory leaks caused by leaky collections

    Easily monitor the different memory pool sizes over time to understand just how close your application is to getting a Java memory leak so you can better fine tune your JVM memory settings and prevent Java memory leaks. AppDynamics automatically tracks the size and growth of Java Collections like HashMap, HashSets and ConcurrentLinkedQueues over time as data in your application is requested and persisted within JVM memory. AppDynamics uses intelligent algorithms to detect which Collections may potentially be leaking, and flags these Collections automatically so users can drill-down, and inspect the contents, to better understand what objects are being allocated, and how much memory these objects are consuming inside the Collection.


    Enable tracking of object instantiations/destructions to troubleshoot JVM heap thrash

    Allocation Tracking tracks all the code paths and those business transactions that are allocating instances of a particular class.


    PHP monitoring

    Supported Frameworks for PHP Monitoring:

    • Drupal
    • WordPress
    • Magento
    • Symfony 1 + 2
    • Zend Framework 1 + 2
    • CakePHP
    • CodeIgniter
    • Moodle
    • SugarCRM
    • PHP CLI
    • Kohana
    • Joomla!
    • Laravel
    • Yii
    • Lightspeed
    • FuelPHP
    • Phalcon

    .NET monitoring

    AppDynamics Intelligence platform supports all common .NET monitoring frameworks including:

    • Microsoft Azure
    • WCF
    • MVC5
    • ASP.NET
    • IIS
    • Managed Standalone Applications
    • Managed Windows Services
    • Microsoft Sharepoint Server
    • ADO.NET
    • ODP.NET
    • Message Queues
    • Remoting Services
    • Async Monitoring

    Node.js monitoring

    Node.js monitoring frameworks including:

    • Express
    • Kraken.js
    • Restify
    • Hapi
    • Sails.js
    • FlatIron
    • Geddy
    • Koa
    • Derby
    • Mojito

    Python monitoring

    Monitor your Python applications in real time, drill down into call stacks, correlate transactions traversing your distributed environment, and diagnose performance bottlenecks while running in a live production or development environment.

    Docker Monitoring

    Integrated monitoring of Dockerized containers with application monitoring

    You can use the Standalone Machine Agent to monitor application nodes running inside Docker containers and to identify container issues that impact application performance


    Automatic discovery of containers

    Automatic discovery of entry and exit points of your microservice as service endpoints for focused microservices monitoring


    Support Docker attributes and perspectives

    AppDynamics provides visibility into applications and business transactions made out of multiple smaller decoupled (micro) services deployed in a Docker environment using the Docker monitoring solution. The AppDynamics Docker Monitoring Extension monitors and reports on various metrics, such as: total number of containers, running containers, images, CPU usage, memory usage, network traffic, etc. The AppDynamics Docker monitoring extension gathers metrics from the Docker Remote API, either using Unix Socket or TCP giving you the choice for data collection protocol.


    Visualize distribution of containers over cluster hosts

    AppDynamics provides visualization of the services path including traceability from end to end for each interaction, from the user through all of the services calls, along with the infrastructure

    Network Monitoring

    Autodiscovery of network topology and interdependencies

    Auto-discover application and network topology and interdependencies, including reverse proxy load balancers


    Report on throughput, packet loss, and RT rates

    Detect network performance issues before they impact application performance:

    • Eliminate expensive packet capture/analysis appliances and associated SPAN/TAP hardware

    • Track network KPIs including throughput, packet loss, and RT rates


    Monitors network without need of TAP or SPAN port

    • Does not require network taps or help by networking teams to install and operate

    • Eliminate expensive packet capture/analysis appliances and associated SPAN/TAP hardware


    Single UI to drill from network to application and business transaction

    All of AppDynamics is consumed in a single UI. Therefore, you are able to drill in from any component to another within the same UI.

    Virtualization Monitoring

    Citrix XenApp and XenDesktop monitoring

    The AppDynamics Apache CloudStack Extension for Citrix CloudPlatform provides the ability to monitor and manage your critical cloud-based applications, ensure application performance pre and post-cloud migration, and take full advantage of cloud elasticity with auto-scaling.


    Server virtualization monitoring

    Server Monitoring includes additional windows in the Controller UI that enable you to quickly see underlying infrastructure issues impacting your application performance


    VDI monitoring

    Due to the way Citrix technology is set up, AppDynamics is able to see a partial amount of VDI performance. There is some manual steps that need to take place to achieve this visibility as it is not acheieved out of the box. Please work with the AppDynamics representative to learn more about what is possible with your virtualized environment.

    Web RUM

    Support for modern desktop browsers

    AppDynamics supports the current modern browsers:

    • IE6/7/8/9/10/11/Edge
    • Chrome, including Mobile
    • Firefox, including Mobile
    • Safari, including Mobile
    • Opera

    Support for mobile browsers

    AppDyanmics supports the current modern browsers:

    • IE6/7/8/9/10/11/Edge
    • Chrome, including Mobile
    • Firefox, including Mobile
    • Safari, including Mobile
    • Opera

    Monitor all page requests

    Users can receive detailed information of how each of your pages, Ajax requests, iframes, and virtual pages are performing over time within the Pages and Ajax view within the UI.


    Monitor all iFrame requests

    Users can receive detailed information of how each of your pages, Ajax requests, iframes, and virtual pages are performing over time within the Pages and Ajax view within the UI.


    Full support for monitoring single page applications properly

    Browser RUM supports single-page applications created using the AngularJS 1.x


    Automatically detect JavaScript errors

    Users have the ability to enable and disable reporting of JavaScript and Ajax request errors. When enabled, JavaScript and Ajax request errors are reported throughout the Browser Monitoring UI: in the geo page, in the user stats browser and device dashboards, in the page list, and in browser snapshots.


    Display response time status on Geo Map

    All Geo Dashboards display key EUM performance metrics by geographic location. You can quickly see which regions have the highest loads, the longest response times, and the most errors. You can understand at a glance which locations are active and of the active locations, which are slow.


    Collect and display Navigation Timing API data for all poor performing requests

    You can build custom health rules based on Browser RUM Page, Ajax, and iframe metrics in the health rule builder. Please refer to 4.2x documentation to see what metrics are available for both modern browsers that support Navigation Timing API and other bowers, as well as NavTime browsers.


    Collect and display Resource Timing API data for all poor performing requests

    AppDynamics can capture resource timing and can also help capture resource timing data when the browser stops collecting this information.


    Correlate web transactions with server side transactions for drill down

    With AppDynamics End User Monitoring, you can collect information on where in the world your requests are coming from and what devices and channels are being used, as well as the performance of your code once it's on your user's device. You can even investigate mobile crashes by seeing stack traces and other contextual data at the moment of the crash. And that data can be tied to business transaction data from the server side.


    Provide detailed browser traces for poor performing end user requests

    AppDynamics app agents discover requests to your application as entry points to a business transaction. The agents tag the request data and trace the request path as it passes from web servers to databases and other infrastructure components. AppDynamics collects performance metrics for each tier that processes the business transaction.


    Provide usage based analytics showing browser types and versions

    AppDynamics provides accurate browser-user insights to optimize web experiences based on large volumes of multi-dimensional data that includes user response time, first byte time, DOM ready time, device type and browser type, version, etc.


    Provide usage based analytics showing device and OS types

    AppDynamics provides accurate browser-user insights to optimize web experiences based on large volumes of multi-dimensional data that includes user response time, first byte time, DOM ready time, device type and browser type, version, etc.


    Provide customizable analytics area for troubleshooting and analysis purposes

    AppDynamics Application Analytics enables you to do real-time analysis of business performance that is correlated with the performance of your application software


    Provide cache metrics for each page request

    AppDynamics collects cache metrics for each of the request for you to view. You have the ability to define a specific cache endpoint for monitoring.


    Show server side response time for all pages

    Detailed storage and network pages for additional details required for troubleshooting


    Provide drill down from poor performing request to server side deep diagnostic session

    Retroactively troubleshoot and diagnose the root cause of infrastructure performance issues -- in a live production environment -- using fine-grained historical data


    Session tracking

    Using Browser RUM Sessions you can analyze sessionized results from all requests stored in the AppDynamics Events Service


    Ability to generate a synthetic page request directly from the poor performing request

    Browser Synthetic Monitoring uses geographically distributed agents to continuously test key user workflows in your application. This allows you to monitor the correctness and performance of multi-step flows independently of user-generated load. AppDynamics provide two way of using synthetics: Scheduled jobs and on-demand snapshots.


    SDK for support of any Single Page Application (SPA) framework

    Browser RUM supports single-page applications created using the AngularJS 1.x, commonly known as just Angular, and provides methods for monitoring Ember.js applications, but you can extend the JavaScript Agent to other Angular versions and non-Angular frameworks using the JavaScript Agent API


    EUM cross application correlation

    The cross application flow map lets you see shared points in your application environment. This allows you to organize business applications by the services, infrastructure, and software components in your environment in the way that best fits your needs, while still being able to see business application interdependencies.

    Analytics built into EUM portion of UI

    Application Analytics is built on the App iQ platform, which includes the Events Service, the unstructured document store for the platform. The exact components you need to install depend upon your environment and your requirements.


    Custom user data available at the session and page request level

    You can add user information that is specific to your application to a browser snapshot.


    Page grouping at root level instead of individual pages for each set of parameters

    You can configure the display names by which various pages and iframes are referred to and sorted in controller lists and dashboards.

    Mobile RUM

    Support for native mobile applications

    AppDynamics Mobile Application Monitoring solution enables organizations to deliver a reliable, consistent mobile experience and protect increasingly important mobile device revenue streams and customer interactions, even under the most demanding situations. AppDynamics provides full support for iOS, Android and XAMARIN operating systems. Our Xamarin plugin makes it easy to instrument Xamarin apps for iOS, Android, and Windows.


    Support for mobile browsers

    AppDynamics Browser RUM Supported Environments include:

    • IE6/7/8/9/10/11/Edge
    • Chrome, including Mobile
    • Firefox, including Mobile
    • Safari, including Mobile
    • Opera

    See mobile app performance, http errors, and network error information

    As your end users interact with your application, the AppDynamics agent collects metrics and any error information on the application's performance and sends that information to the EUM Server, where it is processed. The EUM Server then makes the data available to the AppDynamics controller UI, where it is displayed in a series of dashboards and charts


    See the performance of API calls from your mobile application to the server side

    Yes. Platform allows users to enforce SLAs for APIs, content delivery networks, and other third-party services.


    Track crashes and exception

    Automatically capture stack traces to pinpoint code issues while, correlating crash events with user sessions to understand the cause of a crash and how to reproduce it.


    Provide crash analytics

    The Crash Analyze tab in the UI lists all the individual crash snapshots.


    User tracing/breadcrumbs

    If your application crashes, the agent also creates a crash snapshot with information to help you analyze what happened, including the crashed function, the source file containing the crashed function, the line number, if available, and a stack trace of the application at the time of the crash, along with various other identifying data. And if the server-side application with which your mobile app interacts is also instrumented, you can get correlated metric information for the entire round-trip request life cycle.


    Trace transactions from mobile device all the way to the server side

    Mobile RUM collects data on every network request that your mobile app makes, and it also takes detailed snapshots periodically in case performance issues have been detected. Over time, the network request metrics are rolled up, based on averages and percentiles.


    Correlate mobile transactions with server side transactions for drill down

    Yes. You can correlate mobile network requests with business transactions. The correlation enables you to map network requests made by your mobile application with an underlying backend application.


    Provide usage and performance analytics based upon device type

    Yes. Graphic representations of overall usage statistics by device, carrier, OS version, connection type, and version


    Provide usage and performance analytics based upon OS type

    Yes. Graphic representations of overall usage statistics by device, carrier, OS version, connection type, and version


    Provide usage and performance analytics based upon OS version

    Yes. Graphic representations of overall usage statistics by device, carrier, OS version, connection type, and version


    Provide unified user interface for mobile and server diagnostics

    Yes.


    Integrated and correlated data between mobile, server, and infrastructure monitoring

    All application data is integrated into one UI, so users have a single paned view of the health of their application infrastructure


    Display response time status on Geo Map

    The Geo Dashboard provides high-level insight into how your application is performing across the world.


    Provide device and carrier diagnostic metrics

    Yes. Graphic representations of overall usage statistics by device, carrier, OS version, connection type, and version


    Track user sessions to understand user flows and behavior

    The crash snapshot list within the dashboard will provide summary information, contextual and user information, and a detailed stack trace from the crash.


    Capture user interactions within each session

    The crash snapshot list within the dashboard will provide summary information, contextual and user information, and a detailed stack trace from the crash.


    Alert based upon deviation from normal behavior for mobile metrics

    Resolve crashes faster by getting alerted when unique crashes occur.


    Provide percentile metrics related to mobile performance

    Parts of the Controller UI for Mobile RUM rely on processing done by the Events Service, including some of the widgets in the Mobile App Dashboard Overview, Network Requests Analyze, and Crash Analyze.
 For the Mobile App Dashboard, Network Requests Analyze, and Crash Analyze, you can choose widgets to display the metrics collected using either averages or percentiles: Specifically, you can:

    • enable or disable percentile display of metrics.

    • set up to four different percentile levels to be applied to metrics.
    Comparisons
    Also Known As
    New Relic Mobile
    AppD, AppDynamics APM
    Learn More
    Overview

    New Relic is a software analytics and application performance management solution that gives users in-depth data visibility and analytics. By going right to the source, the code, New Relic enables users to develop quicker software, build improved products,and consistently impress their customers. Data tells a story and New Relic interprets what it is telling you.

    AppDynamics is the Application Intelligence company. With AppDynamics, enterprises have real-time insights into application performance, user performance and business performance so they can move faster in an increasingly sophisticated, software-driven world. AppDynamics’ integrated suite of applications is built on its innovative, enterprise-grade App iQ Platform that enables its customers to make faster decisions that enhance customer engagement and improve operational and business performance. AppDynamics is uniquely positioned to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. 

    Datadog is a cloud monitoring solution that is designed to assist administrators, IT teams, and other members of an organization who are charged with keeping a close eye on their networks. Administrators can use Datadog to set real-time alerts and schedule automated report generation. They can deal with issues as they arise and keep up to date with the overall health of their network while still being able to focus on other tasks. Users can also track the historical performance of their networks and ensure that they operate at the highest possible level.

    Datadog Benefits

    Some of the ways that organizations can benefit by deploying Datadog include:

    • Gain an integrated view of the services and programs that IT teams are employing across their networks. Users can view and monitor all of the disparate programs that they have running across their networks with this one solution. They can track these programs across the entirety of the data’s life cycle.
    • Analyze and utilize massive amounts of data in real time. Datadog’s dashboards gather data in real time. Administrators can utilize their network’s data the minute that it becomes relevant to them. Decisions can be made based on the most current information available.
    • Keep your cloud network secured against digital threats. Datadog enables users to create alerts that will notify the minute that threats arise. IT teams and administrators can rapidly address any issue that comes up and prevent any existing problem from growing worse.
    • Easily get it up and running. Users can set up Datadog, configure it, and employ API integrations to connect it to external solutions with ease.

    Datadog Features

    • Customizable and prefabricated monitoring dashboards. Administrators are supplied with two different types of dashboards that they can choose from when they are setting up Datadog. They can customize the dashboards to fit any specialized monitoring need. Additionally, users can choose to use prefabricated dashboards that come with the solution.
    • Disaster recovery feature. Datadog has a built-in feature that enables organizations to continue functioning if some disaster strikes their network. If the network suffers damage, Datadog can restore lost data and infrastructure. Should a digital threat do damage to the network, Datadog ensures that the damage is not irreparable.
    • Vulnerability scanning tool. Users can keep ahead of threats to their networks by employing Datadog’s vulnerability scanning feature. This tool scans the entirety of a user’s network and warns them if a vulnerability is detected. Users can then move to patch these holes in their security before the threat to their network can escalate.

    Reviews from Real Users

    Datadog is a solution that stands out when compared to many of its competitors. It can offer organizations many advantages. Two major advantages are the dashboards that users can create and the monitoring capability that it gives system administrators.

    A senior manager in charge of site reliability engineering at Extra Space Storage writes, “The dashboards we created are core indicators of the health of our system, and it is one of the most reliable sources we have turned to, especially as we have seen APM metrics impacted several times lately. We can usually rely on logs to tell us what the apps are doing.”

    Housecall Pro’s senior director of DevOps writes, “We value the monitoring capability since it allows us to be pushed alerts, rather than having to observe graphs continually.

    Offer
    Learn more about New Relic APM
    Learn more about AppDynamics
    Learn more about Datadog
    Sample Customers
    Dow Jones, Microsoft, Nike, Groupon, NBC, Sony, Fox, Adobe, Best Buy, Walmart, and WebMD, Cirque du Soleil, FlightNetwork.com, France Télévisions SA, Hachette Book Group, Hy-Vee, Inc., Isolation Network, Inc., Lighthouse eDiscovery, Major League Soccer, NYC-DOT, New Zealand Media and Entertainment, Office Depot International in Europe, Royal Opera House, Adobe Systems Incorporated, American Eagle Outfitters, Inc., Citrix, Despegar.com, Eastern Bank Corporation, Fox Sports, Globosat, Hogg Robinson plc, iHeartMedia, Jive, Kent State University, Multiplus, NBCUniversal, Ocado, REI, Sensis, VenueNext, Yellow Pages Limited and Zenefits
    Cisco, Sony, Nasdaq, Reserve Bank of New Zealand, Edmunds.com, Puma, Fox News, DirecTV, Pizza Hut, T-Systems, Cornell University, OpenTable, BITMARCK, Green Mountain Power, Care.com, Overstock, Paddy Power, eHarmony, Kraft, The Motley Fool, The Container Store, and more See more customers
    Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
    Top Industries
    REVIEWERS
    Financial Services Firm20%
    Computer Software Company13%
    Media Company11%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Comms Service Provider10%
    Government6%
    REVIEWERS
    Financial Services Firm27%
    Computer Software Company12%
    Insurance Company7%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company19%
    Comms Service Provider11%
    Government6%
    REVIEWERS
    Computer Software Company22%
    Financial Services Firm11%
    Security Firm8%
    Real Estate/Law Firm8%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider12%
    Financial Services Firm12%
    Insurance Company6%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise29%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise11%
    Large Enterprise76%
    REVIEWERS
    Small Business41%
    Midsize Enterprise19%
    Large Enterprise41%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise15%
    Large Enterprise65%
    Buyer's Guide
    AppDynamics vs. Datadog
    August 2022
    Find out what your peers are saying about AppDynamics vs. Datadog and other solutions. Updated: August 2022.
    632,611 professionals have used our research since 2012.

    AppDynamics is ranked 3rd in Application Performance Management (APM) with 35 reviews while Datadog is ranked 2nd in Application Performance Management (APM) with 34 reviews. AppDynamics is rated 7.6, while Datadog is rated 8.6. The top reviewer of AppDynamics writes "Great dashboards, with good SAP monitoring but needs to be more reasonably priced". On the other hand, the top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". AppDynamics is most compared with Dynatrace, Elastic Observability, Splunk, SolarWinds Server and Application Monitor and Azure Monitor, whereas Datadog is most compared with Dynatrace, Azure Monitor, Splunk, Amazon CloudWatch and Zabbix. See our AppDynamics vs. Datadog report.

    See our list of best Application Performance Management (APM) vendors.

    We monitor all Application Performance Management (APM) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.