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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

    Google Cloud Operations Suite

    Score7.2 out of 10
    N/AThe Google Cloud Operations Suite (formerly Stackdriver) is an APM platform based on three tools for error detection, tracing, and resolution. It manages cloud-based or on-premise applications in live or mid-production environments.

    $0.01

    per 1,000 read API calls

    Pricing
    DatadogGoogle Cloud Operations Suite
    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
    Monitoring API Calls
    $0.01
    per 1,000 read API calls
    Trace Ingestion
    $0.20
    per million spans
    Monitoring Data
    $0.26
    per MB
    Logging Data
    $0.50
    per GB
    Offerings
    Pricing Offerings
    DatadogGoogle Cloud Operations Suite
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).—
    More Pricing Information
    Community Pulse
    DatadogGoogle Cloud Operations Suite
    Considered Both Products
    Datadog
    No answer on this topic
    Google
    Chose Google Cloud Operations Suite
    Honestly, because it is from Google, we also mainly chose this product on the recommendation of other friends and businesses, and because of its reliability, security and ease of access. It also has excellent technical support and warranty. The staff is fast and super efficient …
    Incentivized
    Key User Insights
    Would buy again
    95%
    Would buy again
    21 Answers
    No answers on this topic
    Delivers good value for the price
    95%
    Delivers good value for the price
    19 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    22 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    14 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    14 Answers
    No answers on this topic
    Features
    DatadogGoogle Cloud Operations Suite
    Application Performance Management
    Comparison of Application Performance Management features of Datadog and Google Cloud Operations Suite
    Feature
    Datadog
    -
    Ratings
    Google Cloud Operations Suite
    8.6
    2 Ratings
    12% above category average
    Application monitoring00 Ratings9.12 Ratings
    Database monitoring00 Ratings9.12 Ratings
    Threshold alerts00 Ratings7.32 Ratings
    Predictive capabilities00 Ratings9.01 Ratings
    Application performance management console00 Ratings6.42 Ratings
    Collaboration tools00 Ratings9.01 Ratings
    Out-of-the box templates to monitor applications00 Ratings9.01 Ratings
    Application dependency mapping and thresholding00 Ratings8.01 Ratings
    Virtualization monitoring00 Ratings10.01 Ratings
    Server availability and performance monitoring00 Ratings8.22 Ratings
    Server usage monitoring and capacity forecasting00 Ratings8.22 Ratings
    IT Asset Discovery00 Ratings10.01 Ratings
    Best Alternatives
    DatadogGoogle Cloud Operations Suite
    Small Businesses
    Amazon CloudWatch
    Score8.2 out of 10
    No answers on this topic
    Medium-sized Companies
    Sumo Logic
    Score9.4 out of 10
    SolarWinds AppOptics
    Score8.2 out of 10
    Enterprises
    NetBrain Technologies
    Score9.2 out of 10
    SolarWinds Server & Application Monitor
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DatadogGoogle Cloud Operations Suite
    Likelihood to Recommend
    9.0
    (22 ratings)
    8.2
    (2 ratings)
    Usability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.9
    (6 ratings)
    10.0
    (1 ratings)
    User Testimonials
    DatadogGoogle Cloud Operations Suite
    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
    Google
    Easy to set up in all environments. With this tool, the company is now able to measure both well-functioning data and data that needs immediate intervention. This early detection facilitates decisions about actions to correct the disorder and improve indexes. Stackdriver is now essential for the company's security and monitoring team and we plan to expand to other branches.
    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
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    Google
    • All the application error reporting available at a single place.
    • You will get the real-time application error and alerts.
    • It's really easy to use and no need to worry for the setup.
    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
    Google
    • For searching and filtering the logs the system is slow sometimes.
    • An agent needs to be installed in each VM to monitor specific metrics.
    • The pricing model is confusing.
    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
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    Google
    No answers on this topic
    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
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    Google
    It is also a great problem detection tool, and this is extremely important for General Motors.
    The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:
    - containment of hosts;
    - cloud provider limitation;
    - hardware wear.
    And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.
    Incentivized
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    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
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    Google
    Incentivized
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    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
    Google
    • We completely depends on Stackdriver for error monitoring and reporting.
    • Stackdriver is very simple to use and available at default.
    • Stackdriver is the key part for our business to get the insight of our application behavior.
    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.