Datadog vs Elastic Observability comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between Datadog and Elastic Observability based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Management (APM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Datadog vs. Elastic Observability Report (Updated: November 2022).
653,522 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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 breakdown of the response time of different components and getting in-depth details of the slow component are the most valuable features. It is easy to use, and it gets the job done.""The most valuable feature is application monitoring.""The simplicity of the dashboard is very good.""To me, the most valuable feature of New Relic APM is the traceability, mainly based on the time travel method, so you get the overall response time, which is pretty helpful for developers and ADR techs looking into issues on a deeper level. New Relic APM is a very good, tailor-made solution.""Working with the solution is very easy. It's user-friendly.""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.""The VPN is one of the solution's most valuable features for us."

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"The visibility into our network has allowed for quick diagnosis of failures, identification of underutilized or over-utilized resources, and allowed for cloud cost optimization opportunities.""Most of the features in the way Datadog does monitoring are commendable and that is the reason we choose it. We did some comparisons before picking Datadog. Datadog was recommended based on the features provided.""We have way more observability than what we had before - on the application and the overall system.""It is easy to navigate the menu and create tests.""The service catalog helped improve our organization by giving a good view of the flow for our microservices applications.""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.""We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions.""Its integration definitely stands out. It provides seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor. Visualizations have become simpler with dashboards. We are getting visibility into systems, services, and apps stack through a single pane of glass, which is good. We are able to put logs in context."

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"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform.""Machine learning is the most valuable feature of this solution.""The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests.""It's easy to deploy, and it's very flexible.""We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical.""For full stack observability, Elastic is the best tool compared with any other tool .""The solution allows us to dig deep into data."

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Cons
"New Relic APM could improve error debugging and the correlation with the logs. We are receiving some alerts or alarms but we need to correlate with the error log, but it is difficult if it is more than seven months retention period, it is hard to trace. We need this especially for getting historical information.""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.""I would like the ability to set up certain dummy accounts and do the actual things that the customer is doing, without impacting the production environment.""They should bring the pricing down to be more competitive.""The solution could improve by having more network monitoring features, such as for all the infrastructure.""I haven't come across any features that are lacking.""The solution is quite expensive.""New Relic APM can improve the information when we dig deeper to check a problem. There should be more detailed information provided."

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"The correlation between the logs and the metrics needs improvement as most cases, we might use another logging tool (that is cheaper in cost) which we then have to link together.""The installation is easy for me. However, if you are new to this solution it might not be so easy.""We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved.""Sometimes, it takes a long time to load the dashboard if we have many charts.""At times, it can be hard to generate metrics out of logs.""It would be ideal if the product offered a bit more monitoring from our dashboard.""Graph filters for logs need to be set manually which works well for JSON but not for unstructured logs.""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."

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"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana.""The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome.""They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base.""Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included.""The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages.""Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low.""If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."

More Elastic Observability 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."
  • "The pricing is fine."
  • More New Relic APM 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 →

  • "So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
  • "There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
  • "Pricing is one of those situations where the more you use it, the more you pay."
  • More Elastic Observability Pricing and Cost Advice →

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    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:To me, the most valuable feature of New Relic APM is the traceability, mainly based on the time travel method, so you… more »
    Top Answer:I'm unaware of how much the license for New Relic APM costs.
    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:Datadog has made it much easier to have a central place for people to look for logs and made it much easier to notify… more »
    Top Answer:The price is very less expensive compared to the other solutions.
    Top Answer:We are using the open source version, so there's been no need to build anything ourselves. We do not have a lot of… more »
    Top Answer:Our licensing model isn't a full one. We are in a less interesting model, so we do not have intelligence on it. We don't… more »
    Comparisons
    Also Known As
    New Relic Mobile
    Learn More
    Overview

    New Relic invented cloud APM for application engineers. Today it is a leader in observability and source of truth for all engineers to make decisions with data across their entire software stack and the software life cycle.

    There are an estimated 25 million engineers in the world across more than 25 distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and predictable user-based pricing. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications.

    Reviews from Real Users

    “To me, the most valuable feature of New Relic APM is the traceability, mainly based on the time travel method, so you get the overall response time, which is pretty helpful for developers and ADR techs looking into issues on a deeper level. “ - Sreenivasula M., Sr. Engineer of Quality Assurance at a tech consulting company.

    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.” - A PeerSpot user who is a Middleware Specialist at a tech services company.

    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.

    To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together application, infrastructure, and user data into a unified solution for end-to-end observability and alerting.
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights.
    Offer
    Learn more about New Relic APM
    Learn more about Datadog
    Learn more about Elastic Observability
    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
    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
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    Top Industries
    REVIEWERS
    Financial Services Firm20%
    Computer Software Company13%
    Media Company11%
    Retailer7%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company17%
    Comms Service Provider7%
    Government6%
    REVIEWERS
    Financial Services Firm24%
    Computer Software Company16%
    Comms Service Provider9%
    Insurance Company6%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Financial Services Firm12%
    Comms Service Provider11%
    Insurance Company6%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm18%
    Comms Service Provider14%
    Healthcare Company7%
    Company Size
    REVIEWERS
    Small Business37%
    Midsize Enterprise28%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business39%
    Midsize Enterprise19%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise14%
    Large Enterprise65%
    REVIEWERS
    Large Enterprise100%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise68%
    Buyer's Guide
    Datadog vs. Elastic Observability
    November 2022
    Find out what your peers are saying about Datadog vs. Elastic Observability and other solutions. Updated: November 2022.
    653,522 professionals have used our research since 2012.

    Datadog is ranked 1st in Application Performance Management (APM) with 101 reviews while Elastic Observability is ranked 11th in Application Performance Management (APM) with 7 reviews. Datadog is rated 8.6, while Elastic Observability is rated 7.2. The top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". On the other hand, the top reviewer of Elastic Observability writes "Allows us capture data in observability points, place it into a database, and analyze it". Datadog is most compared with Dynatrace, Azure Monitor, Amazon CloudWatch, Splunk and Zabbix, whereas Elastic Observability is most compared with Dynatrace, AppDynamics, New Relic, Azure Monitor and Sentry. See our Datadog vs. Elastic Observability report.

    See our list of best Application Performance Management (APM) vendors, best IT Infrastructure Monitoring vendors, and best Cloud Monitoring Software 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.