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Backtrace vs Sentry: What are the differences?

Introduction

Below, we compare the key differences between Backtrace and Sentry.

  1. Architecture and Scalability: Backtrace and Sentry differ in their architecture and scalability. Backtrace is built on a distributed architecture with an emphasis on scalability, allowing it to handle large volumes of data and provide efficient workflows for bug tracking and resolution. On the other hand, Sentry is designed to be more lightweight and can be easily integrated into existing applications without significant performance overhead.

  2. Error Reporting and Monitoring: Both Backtrace and Sentry offer error reporting and monitoring capabilities. However, Backtrace provides more comprehensive error reporting features, including deep crash analysis, support for custom error data, and the ability to collect a wide range of context information at the time of error. Sentry, although it also provides error tracking and monitoring, may not offer the same level of granular crash analysis and data collection options.

  3. Integrations and Ecosystem: Backtrace and Sentry differ in their integrations and overall ecosystem. Backtrace has a vast ecosystem of integrations with various languages, frameworks, and services, allowing for seamless integration with existing development workflows and tools. In contrast, Sentry offers a more focused integrations ecosystem but still covers major programming languages and frameworks.

  4. Workflow and Collaboration: When it comes to workflow and collaboration features, Backtrace and Sentry provide different approaches. Backtrace prioritizes team collaboration and offers features like triaging, assigning, and resolving issues. It also provides advanced filtering and search capabilities to streamline bug tracking. Sentry, although it also offers collaboration features, focuses more on monitoring and alerting, providing real-time notifications and incident management functionality.

  5. Data Privacy and Security: Backtrace and Sentry have different approaches to data privacy and security. Backtrace allows for on-premises deployment, providing more control over sensitive data and meeting specific compliance requirements. On the other hand, Sentry primarily operates in a cloud-based environment, which may have implications for organizations with strict data privacy and security requirements.

  6. Pricing and Licensing: Backtrace and Sentry differ in their pricing and licensing models. Backtrace offers multiple pricing plans, including free and enterprise versions, with different levels of support and feature sets. Sentry also provides free and paid plans, but its pricing is primarily based on the number of events captured and stored, which may be a determinant factor for organizations with high event volumes.

In Summary, Backtrace and Sentry have key differences in their architecture, error reporting capabilities, integrations, workflow approach, data privacy, and pricing models.

Decisions about Backtrace and Sentry

I essentially inherited a Shopify theme that was originally created by an agency. After discovering a number of errors being thrown in the Dev Console just by scrolling through the website, I needed more visibility over any errors happening in the field. Having used both Sentry and TrackJS, I always got lost in the TrackJS interface, so I felt more comfortable introducing Sentry. The Sentry free tier is also very generous, although it turns out the theme threw over 15k errors in less than a week.

I highly recommend setting up error tracking from day one. Theoretically, you should never need to upgrade from the free tier if you're keeping on top of the errors...

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Pros of Backtrace
Pros of Sentry
    Be the first to leave a pro
    • 237
      Consolidates similar errors and makes resolution easy
    • 121
      Email Notifications
    • 108
      Open source
    • 84
      Slack integration
    • 71
      Github integration
    • 49
      Easy
    • 44
      User-friendly interface
    • 28
      The most important tool we use in production
    • 18
      Hipchat integration
    • 17
      Heroku Integration
    • 15
      Good documentation
    • 14
      Free tier
    • 11
      Self-hosted
    • 9
      Easy setup
    • 7
      Realiable
    • 6
      Provides context, and great stack trace
    • 4
      Feedback form on error pages
    • 4
      Love it baby
    • 3
      Gitlab integration
    • 3
      Filter by custom tags
    • 3
      Super user friendly
    • 3
      Captures local variables at each frame in backtraces
    • 3
      Easy Integration
    • 1
      Performance measurements

    Sign up to add or upvote prosMake informed product decisions

    Cons of Backtrace
    Cons of Sentry
      Be the first to leave a con
      • 12
        Confusing UI
      • 4
        Bundle size

      Sign up to add or upvote consMake informed product decisions

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      What is Backtrace?

      It is the first debugging platform built for enterprise-grade software. It improves system availability, software quality and team efficiency by bringing automation to incident detection, response and resolution. The debugging platform automatically snapshots faulting applications and their surrounding environments then, analyzes and archives them in a centralized object store so bugs don't get missed and get fixed faster.

      What is Sentry?

      Sentry’s Application Monitoring platform helps developers see performance issues, fix errors faster, and optimize their code health.

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      What companies use Backtrace?
      What companies use Sentry?
      Manage your open source components, licenses, and vulnerabilities
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      What tools integrate with Backtrace?
      What tools integrate with Sentry?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      Blog Posts

      Oct 11 2019 at 2:36PM

      LogRocket

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      What are some alternatives to Backtrace and Sentry?
      New Relic
      The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.
      Kibana
      Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
      Grafana
      Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
      Amazon CloudWatch
      It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.
      Logstash
      Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
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