Dynatrace vs Sumo Logic

by Gralio Feb 03, 2025

Dynatrace is better for organizations seeking AI-powered insights and automated remediation, while Sumo Logic suits those prioritizing log management and analysis. Both cater to mid-sized businesses, but Dynatrace's comprehensive approach may come at a higher cost compared to Sumo Logic's specialized log focus.

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 1621 reviews and 60 websites, saving 9 hours, 30 minutes of reading.

Dynatrace

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Sumo Logic

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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.

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.

Summary

Main difference

Dynatrace and Sumo Logic are both application performance monitoring (APM) tools, but Dynatrace excels in AI-powered root cause analysis and automation, while Sumo Logic shines in log management and analytics. Dynatrace offers a more comprehensive, automated approach to application performance management, while Sumo Logic provides greater flexibility and deeper log analysis capabilities.

Relative strengths of Dynatrace (compared to Sumo Logic)

Superior AI-driven root cause analysis: Dynatrace's Davis AI automatically pinpoints the root cause of performance issues, saving valuable time and effort compared to Sumo Logic's manual log analysis approach.
Automated instrumentation: Dynatrace's OneAgent automatically instruments applications, simplifying setup and reducing manual configuration compared to Sumo Logic.
Comprehensive full-stack monitoring: Dynatrace provides end-to-end visibility across the entire application stack, including infrastructure, logs, and user experience, while Sumo Logic primarily focuses on log management and analysis.

Relative weaknesses of Dynatrace (compared to Sumo Logic)

Less flexible pricing: Dynatrace's licensing model can be complex and less transparent than Sumo Logic's, which may be a concern for cost-conscious mid-sized businesses.
Less emphasis on log analysis: While Dynatrace offers log monitoring, its focus on AI-driven analysis may not suit businesses heavily reliant on manual log investigation and custom queries like those offered by Sumo Logic.
Steeper learning curve: Dynatrace's extensive features and automation can require a longer onboarding period compared to Sumo Logic's simpler log-centric approach.

What companies are using Dynatrace and Sumo Logic?

No data

Standard Chartered

XSamsung

HashiCorp

Who should use Dynatrace VS. Sumo Logic

Dynatrace offers AI-powered, real-time monitoring for applications and infrastructure. Users praise its automated instrumentation and AI diagnostics, particularly the Davis AI and OneAgent. However, some find the licensing costs difficult to estimate and desire more AWS service dashboards. Dynatrace is well-suited for IT professionals needing in-depth performance analysis.

Sumo Logic offers real-time IT insights for cloud-focused companies. Users praise its customizable dashboards and integrations but note occasional slowdowns and a complex interface. It simplifies IT troubleshooting, security monitoring, and performance analysis.

Best for small, medium, and large enterprises.
Ideal for Software, IT, and Telecommunications, suitable for various other industries.

Best for medium to large companies, especially in software, IT, and telecommunications.
Ideal for software, IT, and telecommunications companies, suitable for healthcare, finance, education, and professional services.

Dynatrace and Sumo Logic 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.

Supported

Sumo Logic uses AI and ML for anomaly detection, security threat identification, and automated incident response.
Answer-driven automation

Supported

Dynatrace offers answer-driven automation through its AutomationEngine.

Partially supported

Sumo Logic offers automated workflows, but "answer-driven" is not explicitly supported.
Compliance and Audit

Supported

Dynatrace supports compliance and audits with features like the Compliance Assistant app and audit logs.

Supported

Sumo Logic offers tools for compliance monitoring, including audit log management, pre-built apps, and real-time alerts.
Real-time monitoring

Supported

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

Supported

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

Not supported

Dynatrace does not support debugging code execution line by line.

Not supported

Sumo Logic does not support step-through debugging.
Breakpoint debugging

Not supported

Dynatrace offers code debugging and network monitoring but not network traffic breakpoint debugging.

Not supported

Breakpoint debugging is not supported.

Qualities

Value and Pricing Transparency

-0.6

Rather negative sentiment

-0.33

Rather negative sentiment
Customer Service

+0.25

Neutral sentiment

+1

Strongly positive sentiment
Ease of Use

+0.68

Rather positive sentiment

+0.47

Rather positive sentiment
Reliability and Performance

+0.92

Strongly positive sentiment

+1

Strongly positive sentiment
Ease of Implementation

+0.22

Neutral sentiment

+0.71

Strongly positive sentiment
Scalability

+0

Neutral sentiment

+0

Neutral sentiment

Dynatrace and Sumo Logic Pricing

No data

User sentiment

Rather negative

-0.6

We couldn't find a pricing page for Dynatrace.

No data

User sentiment

Rather negative

-0.33

See full Pricing page

Dynatrace and Sumo Logic review insights

1618 reviews analysed from and

Users love

Automated instrumentation and the AI powered diagnostics
Davis AI
OneAgent
End to end infra visibility

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.

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

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.

Dynatrace and Sumo Logic Ratings

G2

4.5/5

(1256)
Capterra

4.5/5

(52)
TrustPilot

3.8/5

(2)
Glassdoor

4.1/5

(1459)

G2

4.3/5

(311)
Capterra

4.6/5

(26)
TrustPilot

3.7/5

(1)
Glassdoor

3.5/5

(508)

Company health

Employee growth

12% increase in the last year

2% increase in the last year

Web traffic

1% decrease in the last quarter

5% decrease in the last quarter

Financing

December 2022 - $22M

January 2019 - $340M

How do Dynatrace's AI-driven insights compare to Sumo Logic's log analysis capabilities?

Dynatrace leverages AI, Davis, to provide automated root-cause analysis and performance optimization suggestions, going beyond Sumo Logic's log analysis capabilities. While Sumo Logic excels at collecting, analyzing, and searching logs, Dynatrace's AI analyzes the full application performance lifecycle including logs, metrics, and traces to provide deeper insights and proactive problem resolution. Essentially, Sumo Logic helps you find the "what" in your log data while Dynatrace helps you understand the "why" and "how to fix it."

Which product better integrates with existing cloud-native environments?

Sumo Logic better integrates with existing cloud-native environments. Its core functionality centers around log management and analysis, which is crucial for monitoring and troubleshooting cloud-native applications. While Dynatrace also offers application performance monitoring, Sumo Logic's focus on logs and its explicit targeting of cloud-focused companies makes it a more natural fit for cloud-native environments.

What are the advantages of Dynatrace?

Dynatrace offers advantages in AI-driven application performance optimization and automation. Its AutomationEngine and Davis AI provide automated remediation and proactive problem identification. Dynatrace also excels in real-time monitoring with broader coverage including RUM and anomaly detection, while Sumo Logic focuses primarily on log management. Dynatrace's AppEngine empowers custom data-driven app creation with a low-code approach.

What are the disadvantages of Dynatrace?

Dynatrace users report difficulties estimating DDU (Digital Delivery Units) and DEM (Digital Experience Monitoring) licensing costs, creating budget uncertainty. Limited log format support can hinder comprehensive analysis. While Dynatrace excels in application performance monitoring, its Kubernetes implementation has had reported bugs. Finally, users note a lack of default dashboards for several AWS services, requiring manual creation and potentially delaying insights.

Alternatives to Dynatrace and Sumo Logic

Datadog

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.

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.

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.

Treblle

Treblle is an API management tool that helps businesses understand and manage their APIs. It offers real-time monitoring, automated documentation, performance analysis, and security assessments. With Treblle, you get a clear picture of how your APIs are performing, who's using them, and potential issues. It simplifies API management, helps developers work more efficiently, and ensures your APIs are secure and high-performing.

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.

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.

Page co-authored by

Michal Kaczor

CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

Tymon Terlikiewicz

CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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