Sumo Logic vs Datadog

by Gralio Feb 03, 2025

Sumo Logic and Datadog are both powerful observability platforms catering to different needs. Sumo Logic excels in log management, analysis, and security insights, while Datadog provides a broader range of observability features in a unified platform. Choose Sumo Logic for specialized log analysis and compliance needs, and Datadog for a comprehensive observability solution.

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 1106 reviews and 60 websites, saving 6 hours, 38 minutes of reading.

Logo of Sumo Logic
Sumo Logic
Logo of Datadog
Datadog

About

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.
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
Sumo Logic is a robust log management and analysis platform ideal for deep log analysis and security insights, especially for businesses prioritizing compliance. Datadog offers a broader range of observability features, including infrastructure monitoring, APM, and security monitoring, making it a better fit for organizations seeking a unified platform.

Relative strengths of Sumo Logic (compared to Datadog)

  • Strong log management and analysis capabilities.

  • Focus on security and compliance.

  • More affordable for log-centric use cases.

Relative weaknesses of Sumo Logic (compared to Datadog)

  • Limited breadth of observability features compared to Datadog.

  • Less user-friendly interface.

  • Smaller community and fewer integrations than Datadog.

Who is using Sumo Logic and Datadog?

Who should use Sumo Logic VS. Datadog

Sumo Logic is a cloud-based log management and analytics solution designed for modern, cloud-focused businesses. It helps companies of all sizes, especially those in IT, manage and analyze their log data to improve performance, strengthen security, and resolve IT issues faster. Users praise its real-time monitoring and integrations but note occasional slowdowns and interface complexity.

Datadog is a comprehensive cloud monitoring and observability platform ideal for technology-driven companies needing real-time insights into their systems. Users praise its intuitive dashboards and seamless integrations, especially with AWS. However, some find its pricing unpredictable and log ingestion costly. It's designed for businesses seeking enhanced performance visibility and proactive issue resolution.

  • Best for small, medium, and large companies.

  • Ideal for Software, IT, and Telecommunications companies.

  • Ideal for small, medium, and large enterprises, especially those with cloud infrastructure.

  • A good fit for software, IT, and telecommunications companies; suitable for various other sectors.

Sumo Logic 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
  • Compliance and Audit
    Supported

    Sumo Logic offers tools for compliance monitoring, audit logs, and supports various standards like PCI, HIPAA, and ISO 27001.

    Supported

    Datadog supports compliance and audits with its Audit Trail and Compliance Monitoring features.

  • Observability
    Supported

    Sumo Logic offers observability features for infrastructure health and performance monitoring.

    Supported

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

  • Digital Experience Monitoring
    Supported

    Sumo Logic offers digital experience monitoring with real user and synthetic monitoring.

    Supported

    Datadog supports digital experience monitoring with features like RUM and synthetic monitoring.

  • Real-time monitoring
    Supported

    Sumo Logic supports real-time application and server performance monitoring.

    Supported

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

  • Customizable dashboards
    Supported

    Sumo Logic allows creating custom dashboards to visualize log data.

    Supported

    Datadog allows creation of custom dashboards to visualize log data.

  • Log management
    Supported

    Sumo Logic offers log collection, storage, and analysis capabilities.

    Supported

    Datadog supports collecting, storing, and analyzing log data.

Qualities

  • Value and Pricing Transparency
    -0.33
    Rather negative sentiment
    -0.95
    Strongly negative sentiment
  • Customer Service
    +1
    Strongly positive sentiment
    +0.08
    Neutral sentiment
  • Ease of Use
    +0.47
    Rather positive sentiment
    +0.66
    Rather positive sentiment
  • Reliability and Performance
    +1
    Strongly positive sentiment
    +0.86
    Strongly positive sentiment
  • Ease of Implementation
    +0.71
    Strongly positive sentiment
    +0.26
    Neutral sentiment
  • Scalability
    +0
    Neutral sentiment
    +1
    Strongly positive sentiment
Sumo Logic and Datadog Pricing
No data

User sentiment

Rather negative
-0.33

See full Pricing page

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

Sumo Logic and Datadog review insights

1092 reviews analysed from and

Users love

  • Real-time monitoring is very useful and customizable.
  • Integrations with other systems are excellent, with pre-built dashboards.
  • Fast and responsive search queries.
  • The ability to customize dashboards is great.
  • Helpful for monitoring and analyzing logs in real time to detect and resolve system issues quickly.
  • 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

  • It can be slow when searching across a large date range.
  • The interface is confusing and can feel cluttered.
  • Limited query language support - SQL is a must.
  • Implementation of metrics, RUM, and tracing feels disconnected.
  • Root cause analysis and service diagrams do not scale well for large organizations.
  • 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.

Sumo Logic and Datadog Ratings

  • G2
    4.3/5
    (292)
  • Capterra
    4.6/5
    (26)
  • TrustPilot
    3.7/5
    (1)
  • Glassdoor
    3.5/5
    (508)
  • G2
    4.3/5
    (532)
  • Capterra
    4.6/5
    (242)
  • TrustPilot
    1.9/5
    (13)
  • Glassdoor
    3.9/5
    (1186)

Company health

Employee growth

2% increase in the last year
36% increase in the last year

Web traffic

5% decrease in the last quarter
10% decrease in the last quarter

Financing

January 2019 - $340M
February 2020 - $148M

How do Sumo Logic and Datadog compare in ease of use for non-engineers?

Datadog has a slightly higher ease-of-use score (0.66) compared to Sumo Logic (0.47), suggesting it might be marginally easier for non-engineers. However, user reviews for both products mention interface complexities. While Datadog is praised for intuitive dashboards, its pricing model is criticized for being complex. Sumo Logic's interface is considered cluttered by some, despite customizable dashboards. Ultimately, both products likely require some technical understanding, and a trial of each is recommended to determine which best suits a specific user's needs and technical comfort level.

Which product offers better integration with existing AWS infrastructure?

Datadog offers better integration with existing AWS infrastructure. Users specifically praise Datadog's seamless integration with AWS and other cloud providers. While Sumo Logic also offers integrations, Datadog's are more prominently highlighted and appear to be a key strength of the product.

What are the advantages of Sumo Logic?

Sumo Logic shines in its real-time monitoring and customizable dashboards, allowing for quick identification and resolution of system issues. Users praise its pre-built integrations, simplifying setup and expanding its functionality. It's particularly well-suited for companies focused on software, IT, and telecommunications, offering targeted solutions for this industry.

What are the disadvantages of Sumo Logic?

Sumo Logic's interface is often criticized for being confusing and cluttered, making navigation and usage challenging. Users report slow search performance, especially with large datasets, hindering efficient analysis. Its query language support is limited, lacking robust SQL capabilities. Furthermore, implementing metrics, RUM, and tracing feels disconnected, and root cause analysis and service diagrams don't scale well for larger organizations.

Alternatives to Sumo Logic and Datadog

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 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 Jira Service Management
Jira Service Management
Jira Service Management, formerly Jira Service Desk, helps IT teams manage requests and incidents quickly. Built on the familiar Jira platform, it simplifies IT processes, enabling your teams to collaborate easily and deliver excellent customer and employee support.
Logo of Dynatrace
Dynatrace
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.
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.
Logo of Honeycomb
Honeycomb is a tool that helps software engineers understand and troubleshoot problems in their applications. It combines logs, metrics, and traces to give a complete view of how software is performing. This helps engineers find and fix issues faster, especially in complex cloud-based systems. Honeycomb is designed for collaboration and scales to handle large amounts of data, making it suitable for growing companies.

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