Dynatrace and Rollbar cater to different monitoring needs. Dynatrace offers a comprehensive platform with AI-powered analysis and automation, ideal for larger organizations with complex IT systems. Rollbar provides focused error tracking and debugging capabilities, which suits smaller development teams seeking faster issue resolution and integration with their existing workflows.
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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.
Rollbar helps software teams find and fix errors in their code. It tells you about errors as they happen, helps you understand how important they are, and gives you the information you need to fix them quickly. It also helps track these errors over time so your team can improve the software and prevent similar errors. Teams use Rollbar to keep their software running smoothly and avoid problems for their users.
Summary
Main difference
Dynatrace offers comprehensive, AI-powered full-stack monitoring suitable for complex applications and IT infrastructure. Rollbar focuses on error tracking and debugging, making it ideal for development teams prioritizing rapid issue resolution.
Relative strengths of Dynatrace (compared to Rollbar)
Broader monitoring capabilities: Dynatrace monitors application performance, infrastructure health, and user experience providing a holistic view of your IT environment.
AI-powered insights: Dynatrace leverages AI to analyze data, pinpoint root causes, and automate remediation, reducing manual effort.
Automation: Dynatrace's AutomationEngine allows for automated responses to incidents, freeing up IT teams.
Relative weaknesses of Dynatrace (compared to Rollbar)
Cost: Dynatrace can be more expensive than Rollbar, especially for smaller organizations.
Complexity: Dynatrace's extensive features and dashboards can be overwhelming for users with simpler monitoring needs.
Focus: Dynatrace's strength lies in performance monitoring, while its error tracking capabilities are less granular than Rollbar.
Who should use Dynatrace VS. Rollbar
Dynatrace offers AI-powered insights into application performance, simplifying complex data for IT professionals. Users praise its automated instrumentation and Davis AI. However, some find licensing costs difficult to estimate and log format support limited. It's best for organizations needing a deep understanding of application performance across diverse environments.
Rollbar is error tracking software that helps developers identify and fix bugs. Teams praise Rollbar's detailed error reporting, real-time notifications, and integrations. However, some find the UI slow and error grouping inaccurate. Best for development teams at companies of all sizes.
Best for small, medium, and large enterprises.
Ideal for software, IT, and telecommunications companies; suitable for various other sectors.
Best for small, medium, and enterprise companies.
Ideal for Software, IT, Telecommunications, and other industries.
Dynatrace and Rollbar 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.
Not supported
Rollbar uses AI for error grouping and workflows, but not for broader performance or security optimization.
Answer-driven automation
Supported
Dynatrace offers answer-driven automation through its AutomationEngine.
Partially supported
Rollbar supports automated workflows and integrations but does not explicitly mention answer-driven automation.
Data-driven application builder
Supported
Dynatrace AppEngine allows creation of custom data-driven apps with low-code approach.
Not supported
Rollbar is an error monitoring platform, not an application builder.
Real-time monitoring
Supported
Dynatrace provides real-time application and server performance monitoring, including RUM and anomaly detection.
Partially supported
Rollbar offers real-time error monitoring and can track slow transactions for performance insights.
Step-through debugging
Not supported
Dynatrace does not support debugging code execution line by line.
Not supported
Rollbar 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 to pause network traffic is not supported.
Automated instrumentation and the AI powered diagnostics
Davis AI
OneAgent
End to end infra visibility
Easy integration with various languages and frameworks (Ruby, Python, JavaScript, etc.).
Real-time error tracking and notifications (email, Slack).
Detailed error information, including stack traces, user data, and context.
Helpful support and responsive team.
Customizable grouping rules and alerting.
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
Error grouping can be inaccurate and sometimes merges unrelated errors.
The user interface can be slow, laggy, and occasionally overwhelming.
RQL queries can be slow and time out.
Frontend error tracking can be noisy, reporting errors outside the application's scope (browser extensions, bots).
Limited customization for notification filtering.
Dynatrace and Rollbar Ratings
G2
4.5/5
(1256)
Capterra
4.5/5
(52)
TrustPilot
3.8/5
(2)
Glassdoor
4.1/5
(1459)
G2
4.5/5
(171)
TrustPilot
3.7/5
(1)
Glassdoor
4.4/5
(17)
Company health
Employee growth
12% increase in the last year
11% decrease in the last year
Web traffic
1% decrease in the last quarter
10% decrease in the last quarter
Financing
December 2022 - $22M
November 2019 - $18M
How do Dynatrace's AI-driven insights compare to Rollbar's detailed error data?
Dynatrace uses AI to provide insights and automated actions based on a broad range of performance data, going beyond just error reporting. Rollbar, while not emphasizing AI, focuses on delivering highly detailed error data, including stack traces and contextual information, to aid in debugging and fixing specific code errors. Dynatrace leans towards a broader, AI-driven overview of application health, while Rollbar provides a deeper dive into specific error instances.
Which product better integrates with existing developer workflows and tools?
Rollbar better integrates with existing developer workflows. Its explicit focus on error tracking, debugging, and integration with tools like Jira suggests a tighter integration with the development process. While Dynatrace offers broader application performance monitoring, Rollbar's specialized features likely fit more seamlessly into existing developer toolchains for addressing code-level issues.
What are the advantages of Dynatrace?
Dynatrace offers broader, AI-driven performance monitoring and automation capabilities compared to Rollbar's specialized focus on error tracking. Dynatrace monitors the entire application stack and user experience, providing deeper insights into performance bottlenecks and anomalies, while also offering automated remediation through its AutomationEngine. While Rollbar excels in detailed error reporting and integration with development tools like Jira, Dynatrace's comprehensive approach makes it more suitable for organizations seeking a holistic view of application health and automated performance optimization.
What are the disadvantages of Dynatrace?
Dynatrace's licensing costs for DDU and DEM can be difficult to estimate, making budgeting challenging. Users have also reported limited log format support, which can hinder troubleshooting. Additionally, while Dynatrace excels in application performance monitoring, its Kubernetes implementation has been reported as buggy. Finally, users have noted a lack of default dashboards for several AWS services, requiring manual creation and configuration.
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.
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.
Raygun helps you find and fix software errors before they impact your customers. It gives you a detailed view of your software's performance, highlighting crashes and slowdowns. This helps your team understand the user experience and prioritize important fixes. Raygun works across various platforms, including mobile apps and websites, and offers integrations with popular development tools.
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.
LogRocket helps you understand how users experience your website or app. It records user sessions, tracks errors, and analyzes data to pinpoint technical and usability issues. You can then watch replays of these sessions to see exactly what went wrong, which helps your team prioritize and resolve issues faster.
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.
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.
TT
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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