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.
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Dynatrace
Sumo Logic
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.
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.
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
(1248)
Capterra
4.5/5
(52)
TrustPilot
3.8/5
(2)
Glassdoor
4.1/5
(1459)
G2
4.3/5
(292)
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.
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Microsoft Defender for Cloud
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Treblle
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Splunk APM
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Honeycomb
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