Datadog vs Dynatrace vs Stackify comparison

Datadog and Dynatrace are both solutions in the Application Performance Monitoring (APM) and Observability category. Datadog is ranked #1 with an average rating of 8.7, while Dynatrace is ranked #2 with an average rating of 8.8. Datadog holds a 7.2% mindshare in APM, compared to Dynatrace’s 8.8% mindshare. Additionally, 97% of Datadog users are willing to recommend the solution, compared to 95% of Dynatrace users who would recommend it.

Datadog

Read 188 Datadog reviews

24,907 Views
15,691 Comparison Views

97% willing to recommend

Dynatrace

Read 350 Dynatrace reviews

26,702 Views
19,759 Comparison Views

95% willing to recommend

Stackify

Read 6 Stackify reviews

930 Views
595 Comparison Views

71% willing to recommend

Datadog

Dynatrace

Stackify

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Datadog, Dynatrace, and Stackify based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: August 2025).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2025

Download the complete report

Helped 867,676 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Mindshare comparison

As of September 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 7.2%, down from 10.1% compared to the previous year. The mindshare of Dynatrace is 8.8%, down from 12.2% compared to the previous year. The mindshare of Stackify is 0.3%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Datadog	7.2%
Dynatrace	8.8%
Stackify	0.3%
Other	83.7%

Application Performance Monitoring (APM) and Observability

Featured Reviews

reviewer820579

Senior Product Manager at Redfin Corp

Single pane of glass, easy to share dashboards, and good for monitoring

We've had some issues where we had Datadog automatically turned on in AWS regions that we weren't using, which incurred a small but steady cost that amounted to tens of thousands of dollars spent over a few weeks. I wish there was a global setting that lets an admin restrict which regions DD is turned on in as a default setup step. Sometimes, the APM service dashboard link isn't sharable. I click something in the service catalog, and on that service's APM default view, I try to share a link to that with a teammate, and they reach a blank or error screen. I wish there was more organization and detail in the suggestions when I use the query editor. I'm never quite sure when the autofill dropdown shows up if I'm seeing some custom tag or some default property, so I have to know exactly what I'm looking for in order to build a chart. It's hard to navigate and explore using the query autofill suggestions without knowing exactly what tag to look for. It's been a bit hard to understand how data gets sampled or how many data points a particular dashboard value is using. We've had questions over the RUM metrics that we see and we had to ask for help with how values are calculated, bin sizes, etc to get confidence in our data.

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Anand_Kumar

Enterprise Architect at DXC Technology

Provides a comprehensive view by integrating with other monitoring systems

There may be an issue since there are many tools like Splunk involved in network monitoring. From an IP perspective, Dynatrace is performing well. If they want to develop in network monitoring, they can, as it's part of their product line. It's not rocketry, so they can accomplish it. If I, as an SI, look at it from an enterprise perspective, considering the cost from the client, I prefer not to go with multiple systems, as they don't provide a complete 360-degree view. They need to improve on claims about being an enterprise system. The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.

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Moses Arigbede

Head of DevOps at Partsimony

Easy to set up with great custom dashboards but needs to improve non-.NET infrastructure

They need to improve non-.NET infrastructure. We always had difficulty when it comes to reporting or metrics that come from Linux operating systems and Docker containers. For anything that runs within the Unix environment, we always had problems with them, however, if it was a document-based application, Stackify was 100%, it gave everything. Now, the aggregation agent, the metric agent for Stackify for Linux, collects everything. When I say everything, I mean, everything. It collects so much information that we now started to term it as useless data as all that ingestion will just come in and overwhelm your log retention limit for the month and really this spike up your cost at the end of the month. You'll need to do a lot in order to train down the data coming in from all your Linux environments, to get to what you really need, which actually takes some time as well. I would like to be able to see metrics about individual running containers on the host machines. Stackify has not really gotten that right, as far as I'm concerned. Netdata has done a better job and New Relic has also done a better job. They need to improve on that. We need to be able to see the individual resource usage of containers running within a particular host.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Datadog's learning platform is second to none."

"This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime."

"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."

"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."

"Since we integrated Datadog, we have had increased confidence in the quality of our service, and we had an easier time increasing our delivery velocity."

"Several critical dashboards were created years ago and are still in use today."

"Thanks to frequent concurrent deployments, the DataDog alerts monitors allow us quickly detect issues if anything occurs."

"The solution is stable."

More Datadog pros

"We like the on-premises platform and the horizontal scalability."

"Great for monitoring critical internal and public-facing applications."

"We're able to tell them which calls, which methods, which interface were the problem."

"It has AI capabilities for anomaly detection. Also, they are a fully automated solution, so it's easy to use when it comes to deployment."

"Since we have been receiving alerts from Dynatrace, we go ahead and fix them without the user knowing about them."

"Dynatrace's new AI stuff really out shines its competitors. "

"It identifies problem areas and performance issues."

"Complete visibility into end-to-end user transactions."

More Dynatrace pros

"The filter feature on Stackify is one of the features I found valuable. It's awesome. When I want to get the application logs, the solution gives me many filters. For example, if I want to get logs from my test environment, the option is there for me to select the environment from Stackify, and you can also select the particular application, and you'll see the information you need there. The filter feature alone and the fact that Stackify offers a lot of different filters is what I like the most about the solution because I've used other tools with the filter feature, but the filtering was very difficult, versus Stackify that has good filtering. On Stackify, you can filter the information by the last one hour, or the last four hours, and you can also select the date range and specify the timestamp, then the solution will give you the information based on the date range you specified. Another feature I found valuable on Stackify is its rating feature because it tells you how your application is faring. For example, a rating of A means excellent, while a rating of F means very bad, or that your application is not doing well at all. The ratings are from A to F. I also like that Stackify helps you in terms of load management because the solution gives you information on overutilized resources. These are the most valuable features of the solution."

"The deployment is very fast."

"The performance dashboard and the accurate level of details are beneficial."

"The solution is stable and reliable."

Cons

"While the tool is robust with many different capabilities, users would greatly benefit from more examples in the documentation."

"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."

"Since the Datadog platform has so many separate features, solving so many use cases, there are often inconsistencies in feature availability and interoperability between products."

"The installation is easy for me. However, if you are new to this solution it might not be so easy."

"We'd like Datadog to make the log storage cheaper."

"A big problem with Datadog is the billing. They need to make the billing more user-friendly."

"For three to four months, we have been experiencing real-time delays. For example, if we're monitoring incoming traffic, the real-time status should be displayed up to a certain point. However, due to delays or issues with Datadog, the real-time data might only be updated at an earlier time. We are experiencing consistent delays in data updates from Datadog, with the most recent data often being delayed by about an hour. This issue has been ongoing for the past four months."

"It is far too easy to run up huge unexpected costs."

More Datadog cons

"Filters should have a “negative” option."

"I think at times AppMon has given some folks some headaches from a configuration standpoint, and a maintenance standpoint, but aside from that I don't think they've really had many headaches with it."

"Improve Dynatrace for the following industries: telco, eCommerce, and banking."

"The new Dynatrace solution lacks test-automation integration inside the CI pipeline. I hope that will arrive soon."

"Sometimes we get incidences during the US morning when we are not at the office. If I can get the benefit of a solution, which can alert us and solve itself. It is an automation thing where we do not want to wake up late at night and work on the application."

"We're not quite there yet, but the thing I would like to see is to really have that view of how issues relate to the business. Often enough, the tools that IT have for IT stop at the IT level. They cannot go into the business level part. They can't understand, because they don't have the information that the business needs to provide them with - for example how much an hour of downtime costs the business. For us, in IT, it's an hour of downtime, but it equates to money and equates to hours lost and equates to a lot of things, and often enough we don't have that information. This is where I would like to see us going."

"More visibility into Python processes."

"If Dynatrace is capturing everything in your application, it has to "sense" that information, and that sensing needs sensors which we have to include in our applications. The more you apply sensors - the more details you want - the more you have to increase the level of sensing. If I increase the level of sensing, my application's performance goes down, because something is there that is, again and again, checking each and every thing in the application. So that load on the applications increases. So, many times my applications used to crash because Dynatrace was working on them. We had to remove some sensing; either we had to reduce the sensing or we had to remove Dynatrace immediately."

More Dynatrace cons

"The search feature could be improved."

"I would like to be able to see metrics about individual running containers on the host machines."

"I've not used Stackify for a while, and I'm currently using a solution now that's not as good as Stackify. Among the solutions I've been using so far, Stackify has been one of the best for me, but there's always room for improvement. For example, I don't know if it's just me, but when I try to get the log from Stackify, sometimes it doesn't appear in real-time. It takes a few minutes before the logs appear. When I redeploy my solution and the application starts, I don't see the logs immediately, and it would take two to three minutes before I see the logs. I don't know if other customers have a similar experience. It's the wait time for the logs to appear that's a concern for me, could be improved, and is what the Stackify team should be looking into. In terms of any additional feature that I'd like added to the solution, I'm not sure if Stackify has a way to export logs out. I've been trying to do it. On the solution, you can click on a spiral-like icon and it shows you the entire error, and I'd prefer an export button that would let me download the error and save that into a text file, for example, so it'll be available on my local machine for me to reference it, especially because the log keeps going and as you're using the solution, the system keeps pushing messages on to Stackify, so if I'm looking at a particular error at 12:05 PM, for example, by the time I go back to my system and would like to revisit the error at 12:25 PM, on Stackify, the logs would have gone past that level and I won't see it again which makes it difficult. When you now go back to that timestamp, you don't tend to see it immediately, but if the solution had an export feature for me to save that particular error information on my local machine for reference at a later time, I won't have to go back to Stackify. I just go to that log, specifically to that particular export that I've received on my local machine. I can get it and review it, and it would be easier that way versus me going back to Stackify to find that particular error and request that particular information."

"It should be easily scalable and configurable in different instances."

Pricing and Cost Advice

"Licensing is based on the retention period of logs and metrics."

"Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."

"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."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."

"This solution is budget friendly."

"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."

More Datadog pricing and cost advice

"There was also some complexity in the adoption rate of it because of how costly the licensing is."

"I think that the price is reasonable."

"Make sure your leadership buy-in is in place. Ensure leadership understands that an APM solution is a fairly expensive, so they know what they are getting into."

"We found an issue within the first week of ownership that has been costing us more than the entire license cost."

"The pricing is not bad, but it could be better."

"Just go with Dynatrace. Just start with Dynatrace. Do not go into AppMon. Start with Dynatrace, because AppMon is going to give you so much extra stuff that 99% of your user base will not need it, including yourself."

"The product is superior to others, but it comes with a price tag that is often difficult to position back to clients."

"Dynatrace has a place for everybody. How you use it and what your budgetary limitations are will dictate what you do with it. But it's within everybody's reach. If you're a small organization and you have a large infrastructure, you may not be able to monitor the whole thing. You may have to pick and choose what you want to monitor, and you have the ability to do so. Your available funds are going to dictate that."

More Dynatrace pricing and cost advice

"The price is variable. It depends on how much data we have received in that particular month. Usually, it goes up to $2,000, or, at times, $3,000 USD per month."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

14%

Manufacturing Company

Healthcare Company

Financial Services Firm

24%

Computer Software Company

10%

Manufacturing Company

Government

Financial Services Firm

14%

Media Company

Comms Service Provider

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	78
Midsize Enterprise	42
Large Enterprise	82

By reviewers
Company Size	Count
Small Business	76
Midsize Enterprise	50
Large Enterprise	288

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	2

Questions from the Community

Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems,...

See all answers

Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several time...

See all answers

Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was t...

See all answers

Any advice about APM solutions?

The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if yo...

See all answers

What cloud monitoring software did you choose and why?

While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire sta...

See all answers

APM tools for a Managed Service Provider - Dynatrace vs. AppDynamics vs. Aternity vs. Ruxit

Hi Avi! It's great to see your thorough approach to selecting an APM package for your MSP company. Considering your f...

See all answers

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Comparisons

Azure Monitor vs Datadog

Compared 9% of the time

Splunk Enterprise Security vs Datadog

Compared 5% of the time

AWS X-Ray vs Datadog

Compared 4% of the time

New Relic vs Datadog

Compared 4% of the time

Splunk AppDynamics vs Datadog

Compared 3% of the time

More Datadog Competitors

Splunk Enterprise Security vs Dynatrace

Compared 6% of the time

Splunk AppDynamics vs Dynatrace

Compared 5% of the time

New Relic vs Dynatrace

Compared 5% of the time

Azure Monitor vs Dynatrace

Compared 5% of the time

Elastic Observability vs Dynatrace

Compared 4% of the time

More Dynatrace Competitors

New Relic vs Stackify

Compared 50% of the time

Splunk Enterprise Security vs Stackify

Compared 20% of the time

More Stackify Competitors

Product Reports

Buyer's Guide

Datadog

September 2025

Download Datadog product report

Buyer's Guide

Dynatrace

September 2025

Download Dynatrace product report

Buyer's Guide

Stackify

August 2025

Download Stackify product report

Overview

Datadog is a comprehensive cloud monitoring platform designed to track performance, availability, and log aggregation for cloud resources like AWS, ECS, and Kubernetes. It offers robust tools for creating dashboards, observing user behavior, alerting, telemetry, security monitoring, and synthetic testing.

Datadog supports full observability across cloud providers and environments, enabling troubleshooting, error detection, and performance analysis to maintain system reliability. It offers detailed visualization of servers, integrates seamlessly with cloud providers like AWS, and provides powerful out-of-the-box dashboards and log analytics. Despite its strengths, users often note the need for better integration with other solutions and improved application-level insights. Common challenges include a complex pricing model, setup difficulties, and navigation issues. Users frequently mention the need for clearer documentation, faster loading times, enhanced error traceability, and better log management.

What are the key features of Datadog?

Graphs and Dashboards: Visualizes servers and infrastructure with customizable views.
Metrics: Offers deep insights into system performance and user behavior.
Log Management: Provides powerful analytics for logs and seamless log aggregation.
Unified Tagging: Facilitates organization and retrieval of metrics and logs.
APM and RUM: Enables application performance monitoring and real user monitoring for comprehensive insights.
Synthetic Testing: Allows the simulation of user interactions to test application performance.

What benefits and ROI should users look for in reviews?

System Reliability: Helps ensure uptime and performance across cloud environments.
Proactive Issue Resolution: Assists in identifying and resolving issues before they impact users.
Operational Efficiency: Streamlines monitoring and log management tasks.
Flexible Integrations: Adapts to various cloud services and infrastructure setups.
Real-Time Alerts: Provides timely notifications to address problems swiftly.

Datadog is implemented across different industries, from tech companies monitoring cloud applications to finance sectors ensuring transactional systems' performance. E-commerce platforms use Datadog to track and visualize user behavior and system health, while healthcare organizations utilize it for maintaining secure, compliant environments. Every implementation assists teams in customizing monitoring solutions specific to their industry's requirements.

Datadog

Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.

Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:

Smartscape - visualization mechanism that maps the totality of everything working in your environment and detects any casual dependencies between your applications, processes, websites, services, hosts, cloud infrastructure, and networks.
OneAgent - a technology that analyzes, gathers ,and unifies all business performance metrics throughout every layer of your technology stack.
PurePath Technology - code-level context and timings are captured from the mainframe to the cloud for all end-to-end transactions.

What does Dynatrace offer?

Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:

Cloud Automation: With AI engine Davis®, users can see the exact reason for problems and facilitate quick auto-remediation and intelligent cloud orchestration.
Application Security: With automated application vulnerability management, users can deliver applications faster and more securely.
Infrastructure Monitoring: Convenient broad visibility across your environments is provided with streamlined, automated infrastructure monitoring.
Digital Experience Monitoring (DEM): Optimize your applications, provide better support, and improve user experience with a combination of Real User Monitoring (RUM), Session Replay, and synthetic monitoring throughout your environment.
Applications and Microservices: For complex cloud environments, Dynatrace can automatically provide visibility and root-cause answers. It can also monitor microservices.
Digital Business Analytics: Get AI-powered, real-time answers to analytical business queries with KPIs and metrics that are already flowing through applications.

Reviews from Real Users

Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.

Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."

A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."

Dynatrace

Stackify is an application performance management (APM) solution that combines application performance monitoring with logs, errors, and reporting. It is a SaaS solution that is developer-focused. Users can quickly scan, identify, and repair issues with applications. Stackify APM offers valuable tools, such as Prefix and Retrace, which help to make it a comprehensive and valuable APM solution. Stackify is now part of the Netreo family of IT Infrastructure Management (ITIM), which is considered one of the fastest-growing IT organizations in the marketplace today.

Stackify Prefix

Stackify Prefix helps developers write better code, faster. The tool examines, tests, and approves code as it is being written. Almost every new application is code-perfect, negating the need for exhausting troubleshooting and frustrating time-consuming code review.

Prefix is able to discover poor-performing SQL queries, ORM queries, potential bottlenecks, and concealed exceptions prior to moving the application into production.

Prefix offers Summary Dashboards, intuitive suggestions, integrated logs, and distributed tracing. Distributed tracing expands visibility to cloud-native applications, microservices, and containers and can also provide additional transparency to cache services, web services, third-party services, and more. Users are able to easily move from logs to traces and back.

This valuable tool ensures developers are able to consistently release the best code possible in the least amount of time, while improving performance, productivity, and profitability.

Prefix is a very robust and easy-to-use tool. It can be used seamlessly with Linux, macOS, and Windows. Prefix integrates well with numerous languages, such as Java, Python, Ruby, PHP, Node.js, .Net, and .Net Core.

Stackify Retrace

Stackify Retrace is a user-friendly, trusted APM solution used in more than fifty countries worldwide. Users know that Retrace is able to ensure they can complete quicker, more efficient application development and consistently enhance overall application performance by suggesting important intuitive suggestions users need.

This solution is beneficial to both developers (Dev) and operations (Ops) personnel to learn to improve code and immediately finetune issues by:

Establishing effortless collaboration between Dev and Ops personnel via an easy-to-use GUI dashboard.
Delivering complete transparency of all stages of the application development process, from pre-development to production.
Utilizing performance protocols, such as error tracking, application logs, and code profiling, in real time in order to thoroughly understand how long a code will take to complete various tasks.
Improving overall efficiency and productivity by immediately discovering and repairing application issues.

Retrace Real User Monitoring (RUM) uses both front-end and back-end monitoring to give users a complete picture of what is going on with the applications. This intuitive dashboard displays performance with a complete breakdown of resource usage and integrates the server-side and client traces into one engaging, user-friendly, extensive view.

Retrace is an out-of-the-box solution that works seamlessly with Java stacks, PHP, Node.js, Ruby, Python, .Net, and .Net Core. It is also compatible with many of today’s popular frameworks, such as AWS, Azure, Elasticsearch, MongoDB, MySQL, Oracle, PostgreSQL, Redis, and SQL Server. Additionally, Retrace will work effectively with many cloud providers, containers, and languages, and offers excellent and easy integration with today's favorite tools such as Jira, Slack, Jenkins, and more.

Stackify

Sample 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

Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express

MyRacePass, ClearSale, Newitts, Carbonite, Boston Software, Children's International, Starkwood Media Group, Fewzion

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2025

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