Dynatrace vs Datadog

by Gralio Feb 04, 2025

Dynatrace and Datadog are both powerful observability platforms catering to mid-sized businesses. Dynatrace stands out with its AI-driven automated troubleshooting and simplified deployment using OneAgent, making it ideal for organizations prioritizing ease of use and rapid problem resolution. Datadog provides a wider array of integrations and more comprehensive log management features, making it a better choice for those needing extensive monitoring across diverse environments.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 2089 reviews and 60 websites, saving 12 hours, 6 minutes of reading.

Logo of Dynatrace
Dynatrace
Logo of Datadog
Datadog

About

Dynatrace helps you understand how your software is running, like a health tracker for your apps and systems. It monitors everything - websites, networks, user experience - to pinpoint problems before they impact your business. With AI-powered analysis, Dynatrace simplifies complex data, giving you clear answers and helping you automate IT tasks.
Datadog is a cloud-based software platform that gives you a complete view of your company's technology systems, from websites and apps to servers and databases. It helps you monitor performance, analyze data, and improve security, all in one place. Datadog is designed for companies of all sizes and is used by various teams, including IT, development, and security. It helps businesses ensure their technology runs smoothly, efficiently, and securely.

Summary

Main difference
Dynatrace excels in AI-powered root cause analysis and automated remediation, simplifying complex troubleshooting. Datadog offers broader integrations and a wider range of observability features, providing more comprehensive monitoring across diverse environments.

Relative strengths of Dynatrace (compared to Datadog)

  • Superior AI-driven root cause analysis: Dynatrace's Davis AI automatically pinpoints the root cause of performance issues, reducing troubleshooting time.

  • Automated remediation: Dynatrace facilitates automated responses to incidents, minimizing manual intervention and downtime.

  • Simplified deployment with OneAgent: Dynatrace's OneAgent automatically instruments your entire environment, simplifying deployment and configuration.

Relative weaknesses of Dynatrace (compared to Datadog)

  • Less extensive integrations: While Dynatrace integrates with major cloud providers, Datadog offers a wider range of integrations with specialized tools and services.

  • Complex pricing: Dynatrace's licensing model can be complex and less transparent than Datadog's.

  • Limited log management capabilities: Datadog provides more robust log management and analytics features.

Who should use Dynatrace VS. Datadog

Dynatrace offers AI-powered insights into software performance, simplifying complex data for IT professionals. Users praise its automated instrumentation and Davis AI for problem diagnostics. However, some find the licensing costs difficult to estimate. It's best for organizations needing a deep understanding of application performance, from websites to user experience.

Datadog is a cloud-monitoring and security platform for full-stack observability. Users praise its intuitive dashboards and seamless cloud integrations but dislike unpredictable costs. It's ideal for technology-driven companies needing real-time insights into application and infrastructure performance.

  • Best for small, medium, and large businesses.

  • Ideal for Software, IT, and Telecommunications, suitable for various other industries.

  • Best for medium to large companies.

  • Ideal for software and IT companies.

Dynatrace and Datadog features

Supported
Partially supported
Not supported
Type in the name of the feature or in your own words tell us what you need
  • AI-driven application performance and security optimization
    Supported

    Dynatrace uses AI to optimize application performance and automate remediation. Security optimization is less emphasized.

    Partially supported

    Datadog optimizes AI application performance but AI-driven security optimization is unclear.

  • Answer-driven automation
    Supported

    Dynatrace offers answer-driven automation through its AutomationEngine.

    Partially supported

    Datadog supports answer-driven automation through integrations like Ansible, enabling automated responses based on monitoring data.

  • Observability
    Supported

    Dynatrace monitors infrastructure health and performance, providing end-to-end visibility.

    Supported

    Datadog monitors infrastructure health and performance providing end-to-end visibility.

  • Real-time monitoring
    Supported

    Dynatrace provides real-time application and server performance monitoring, including RUM and anomaly detection.

    Supported

    Datadog supports real-time server and application performance monitoring with features like custom dashboards and alerts.

  • Cloud environment support
    Supported

    Dynatrace offers full observability into applications hosted in cloud environments including AWS, Azure, and GCP.

    Supported

    Datadog supports monitoring applications in cloud environments, including multi-cloud setups.

  • Customizable dashboards
    Partially supported

    Dynatrace dashboards can visualize various metrics, but log data visualization is not explicitly confirmed.

    Supported

    Datadog allows creation of custom dashboards to visualize log data.

Qualities

  • Value and Pricing Transparency
    -0.6
    Rather negative sentiment
    -0.95
    Strongly negative sentiment
  • Customer Service
    +0.25
    Neutral sentiment
    +0.08
    Neutral sentiment
  • Ease of Use
    +0.68
    Rather positive sentiment
    +0.66
    Rather positive sentiment
  • Reliability and Performance
    +0.92
    Strongly positive sentiment
    +0.86
    Strongly positive sentiment
  • Ease of Implementation
    +0.22
    Neutral sentiment
    +0.26
    Neutral sentiment
  • Scalability
    +0
    Neutral sentiment
    +1
    Strongly positive sentiment
Dynatrace and Datadog Pricing
No data

User sentiment

Rather negative
-0.6
We couldn't find a pricing page for Dynatrace.
Datadog offers various pricing plans based on the specific product and features needed. Contact sales for custom quotes on LLM Observability and App Builder.
Plans

User sentiment

Strongly negative
-0.95

See full Pricing page

Dynatrace and Datadog review insights

2074 reviews analysed from and

Users love

  • Automated instrumentation and the AI powered diagnostics
  • Davis AI
  • OneAgent
  • End to end infra visibility
  • Datadog’s intuitive dashboards make it easy to monitor systems.
  • Seamless integration with AWS and other cloud providers.
  • The vast number of integrations allows for extensive customization.
  • Real-time alerts help quickly identify and resolve issues.

Users dislike

  • Limited log format support
  • Difficult to estimate DDU and DEM licensing cost
  • Very few AWS service default dashboard (RDS, DocumentDB etc)
  • Kubernetes implementation has been buggy for a long time
  • Unpredictable costs make it difficult to budget for.
  • Log ingestion is very expensive.
  • Customer support can be slow and unresponsive.
  • Documentation can be out of date or difficult to find.

Dynatrace and Datadog Ratings

  • G2
    4.5/5
    (1248)
  • Capterra
    4.5/5
    (52)
  • TrustPilot
    3.8/5
    (2)
  • Glassdoor
    4.1/5
    (1459)
  • G2
    4.3/5
    (532)
  • Capterra
    4.6/5
    (242)
  • TrustPilot
    1.9/5
    (13)
  • Glassdoor
    3.9/5
    (1186)

Company health

Employee growth

12% increase in the last year
36% increase in the last year

Web traffic

1% decrease in the last quarter
10% decrease in the last quarter

Financing

December 2022 - $22M
February 2020 - $148M

How do Dynatrace and Datadog's AI capabilities compare for root-cause analysis?

Both Dynatrace and Datadog leverage AI for root-cause analysis. Dynatrace's Davis AI is known for its automated anomaly detection and root-cause determination, providing answers rather than just data. Datadog also uses AI to correlate events and surface likely root causes, but its AI capabilities are generally considered less mature and comprehensive than Dynatrace's, particularly for automated remediation. While both offer valuable insights, Dynatrace is often perceived as providing more precise and actionable intelligence for faster problem resolution.

Which product offers better scalability for unpredictable log volume growth?

Datadog offers better scalability for unpredictable log volume growth. Its non-functional features explicitly highlight a perfect score (1) for scalability, while Dynatrace receives a 0. While both products are designed for large enterprises and complex systems, Datadog's architecture and pricing model appear better suited for handling significant, unexpected increases in log data.

What are the advantages of Dynatrace?

Dynatrace excels in AI-driven application performance optimization and automated remediation. Its AutomationEngine and Davis AI provide automated instrumentation and diagnostics, simplifying complex data analysis and proactive problem identification. Users praise Dynatrace's OneAgent for providing comprehensive end-to-end infrastructure visibility. This contrasts with Datadog, where users often mention unpredictable costs and expensive log ingestion as significant drawbacks. While both offer real-time monitoring, Dynatrace's AI-powered approach emphasizes proactive problem-solving and automated solutions, which can be a significant advantage for organizations seeking to reduce manual intervention and improve operational efficiency.

What are the disadvantages of Dynatrace?

Dynatrace's licensing costs for DDU and DEM can be difficult to predict and manage. Users have also reported limited log format support, a buggy Kubernetes implementation, and a lack of default dashboards for several AWS services.

Alternatives to Dynatrace and Datadog

Logo of Sumo Logic
Sumo Logic
Sumo Logic is a cloud-based software that helps you understand what's happening in your company's IT systems. It collects and analyzes data from your apps, servers, and security tools to give you a clear picture of performance and potential problems. This helps you find and fix IT issues faster, strengthen your security against cyber threats, and ensure your technology runs smoothly. Sumo Logic is designed for modern, cloud-focused companies who need a scalable solution to manage their growing IT complexity.
Logo of Microsoft Defender for Cloud
Microsoft Defender for Cloud
Microsoft Defender for Cloud enhances the security of your cloud resources. It helps find and fix vulnerabilities, protect against cyber threats, and maintain compliance with security standards. It provides a range of security features covering applications, data, and infrastructure across multiple cloud platforms, not just Microsoft's. Defender for Cloud helps organizations of all sizes manage their cloud security posture more effectively.
Logo of New Relic
New Relic
New Relic helps you understand how your software is performing. It collects data from your websites, apps, and infrastructure, showing you what's working well and what needs attention. This lets you troubleshoot issues faster, improve customer experience, and make better decisions about your technology investments. New Relic offers a single platform and a flexible, usage-based pricing model.
Logo of Splunk APM
Splunk APM
Splunk APM helps you understand the performance of your company's software and applications. It provides detailed insights into how well your software is running, identifies bottlenecks, and helps troubleshoot issues faster. Splunk APM is particularly useful for companies with complex software systems and those adopting cloud-based technologies. It offers a deep level of analysis for engineers to understand code-level performance and uses AI to assist in identifying and resolving problems quickly.
Logo of Splunk Enterprise
Splunk Enterprise
Splunk Enterprise is a software solution that helps businesses analyze large volumes of machine data. It automatically gathers, organizes, and analyzes data from various sources in your company, like servers and applications. You can then easily visualize this data, identify trends, and receive alerts about potential problems. This allows you to make informed decisions, improve efficiency, and enhance security across your organization.
Logo of Google Analytics
Google Analytics
Google Analytics is a free tool that gives you insights into your website and app users. Understand what content is popular, track your marketing campaigns, and see how people behave on your site. Use this data to improve your website, create better content, and make smarter marketing decisions.

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