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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Datadog

    Score8.4 out of 10
    N/ADatadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

    $18

    per month per host

    Pricing
    Datadog
    Editions & Modules
    Log Management
    $1.27
    per month (billed annually) per host
    Infrastructure
    $15.00
    per month (billed annually) per host
    Standard
    $18
    per month per host
    Enterprise
    $27
    per month per host
    DevSecOps Pro
    $27
    per month per host
    APM
    $31.00
    per month (billed annually) per host
    DevSecOps Enterprise
    $41
    per month per host
    Offerings
    Pricing Offerings
    Datadog
    Free Trial
    Yes
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeOptional
    Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
    More Pricing Information
    Community Pulse
    Datadog
    Considered Both Products
    Datadog
    Chose Datadog
    In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
    Incentivized
    Chose Datadog
    Datadog is an all in one solution. It has everything in one place so you don't have to go from application to application and try to figure out what exactly happened. No more stitching database errors from one third party to backend errors in another to front end errors in …
    Incentivized
    Chose Datadog
    the search query is very easy to search the logs
    Incentivized
    Chose Datadog
    Datadog crushed the competition on price and offering more solutions in one product cutting down on implementation time and effort while ensuring that the "integration" between one of their offerings was completely compatible with any of the others. I'm sure it's not the case …
    Incentivized
    Chose Datadog
    We've completely replaced New Relic with Datadog and find it easier to use and more comprehensive. Our AWS and Sentry usage will continue for now. But Datadog gives us a much broader coverage - we can monitor our AWS services and many other services that interact with them. …
    Incentivized
    Chose Datadog
    Dynatrace was cheaper but, in my opinion, its setup, features, and overall user experience do not come close to what Datadog can offer, making it more of a pain to use and not worth the cheaper cost over Datadog (especially if migrating away from Datadog to Dynatrace).

    Grafana/…
    Incentivized
    Chose Datadog
    Better performance and visibility than what I was able to obtain out of AppDynamics

    Their OnCall offering is very fresh still, but is already almost at parity with Splunk On Call (VictorOps)
    Incentivized
    Chose Datadog
    The first reason for selecting Datadog was of course it's pricing which is quite better in terms of competitor like AppDynamics and splunk. Second thing is versatile services which they are offering on one platform which means entire end to end services can be monitor at one …
    Incentivized
    Chose Datadog
    It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an …
    Incentivized
    Chose Datadog
    One of the most important reason is single agent configuration for all kinds of monitoring. It also proved an auto upgrade feature of agents that reduces the overhead. It also provides range of options when it comes to data visualization and dashboards. It also provide tagging …
    Incentivized
    Chose Datadog
    Kubernetes with Prometheus and other open-source options. It is prone to more toil to set up but the stack can be largely replicated in open source technologies.
    Incentivized
    Chose Datadog
    OEM and Vertica Management console are limited to their own databases whereas Datadog has the ability to monitor multiple types of databases.
    Incentivized
    Chose Datadog
    New Relic was a good tool but had really pushy salespeople. They also released a product called infrastructure recently, and it was worse than their previous product (servers). The previous product was also free! Needless to say, we will not be going back to New Relic any time …
    Incentivized
    Chose Datadog
    Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false …
    Incentivized
    Chose Datadog
    Ultimately, Datadog had the most already-built bridges into our existing infrastructure -- third parties that we're using for certain services are far more likely to work with Datadog than other systems. This means that, while expensive, Datadog has done a tremendous amount of …
    Incentivized
    Chose Datadog
    Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and …
    Incentivized
    Chose Datadog
    No alternatives were considered for our needs.
    Incentivized
    Chose Datadog
    It has been easier to work with Datadog for all our business needs and get things on their roadmap if we found it lacking. Currently we use a mix of various tools as they were existing prior to Datadog came. We are evaluating new offering like Datadog's latest log management to …
    Incentivized
    Chose Datadog
    I am listing how Datadog is better than below chosen
    NotSensu - Datadog has more integrations and easy to use UI.
    Prometheus - Datadog Integration are more in number than, simple installation process
    Incentivized
    Chose Datadog
    We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
    Incentivized
    Chose Datadog
    I have only used Datadog
    Incentivized
    Chose Datadog
    The pricing, the customer service and it most importantly it does the job we expect.
    Incentivized
    Chose Datadog
    Geckoboard has nice dashboard options, however their third party system support isn't as strong as Datadog. Geckoboard did not support all the various server and development systems we use, whereas Datadog did. Also, Datadog has better alerting and monitoring options than …
    Incentivized
    Chose Datadog
    Datadog empowers us to create dashboards and visualize the state of our infrastructure in real time. It gives us control over what we want to view and how. The graphs provide deep insight into trends and anamoly detectives. These features are lacking in some of the other …
    Incentivized
    Key User Insights
    Would buy again
    95%
    Would buy again
    21 Answers
    Delivers good value for the price
    95%
    Delivers good value for the price
    19 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    14 Answers
    Best Alternatives
    Datadog
    Small Businesses
    Amazon CloudWatch
    Score8.2 out of 10
    Medium-sized Companies
    Sumo Logic
    Score9.4 out of 10
    Enterprises
    NetBrain Technologies
    Score9.2 out of 10
    All AlternativesView all alternatives
    User Ratings
    Datadog
    Likelihood to Recommend
    9.0
    (22 ratings)
    Usability
    10.0
    (1 ratings)
    Support Rating
    8.9
    (6 ratings)
    User Testimonials
    Datadog
    Likelihood to Recommend
    Datadog
    Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.
    Incentivized
    Read full review
    Pros
    Datadog
    • Create Dashboards as per application, environments, and Custom metrics in one panel.
    • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
    • Playbooks, SLA definition, success and error quotas, request visualizations.
    • DB monitoring, Serverless stack monitoring.
    • Alerting of Production incidents so we can quickly resolve the issues on time.
    Incentivized
    Read full review
    Cons
    Datadog
    • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
    • I would appreciate more supportive examples for how to filter and view metrics in the explorer
    • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
    Incentivized
    Read full review
    Usability
    Datadog
    There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
    Incentivized
    Read full review
    Support Rating
    Datadog
    The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
    Incentivized
    Read full review
    Alternatives Considered
    Datadog
    We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
    Incentivized
    Read full review
    Return on Investment
    Datadog
    • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
    • Alerts allow us to remedy issues before our customers even know about them
    • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
    Incentivized
    Read full review
    ScreenShots

    Datadog Screenshots

    Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.