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Scalyr

40
58
+ 1
12
Sentry

14.2K
9.1K
+ 1
863
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Scalyr vs Sentry: What are the differences?

Scalyr: Cloud-based log aggregation, server monitoring, and real-time analysis tool. Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab; Sentry: Cut time to resolution for app errors from five hours to five minutes. Sentry is an open-source platform for workflow productivity, aggregating errors from across the stack in real time. 500K developers use Sentry to get the code-level context they need to resolve issues at every stage of the app lifecycle.

Scalyr and Sentry are primarily classified as "Log Management" and "Exception Monitoring" tools respectively.

Some of the features offered by Scalyr are:

  • Remote log monitoring
  • log aggregation
  • real-time reporting

On the other hand, Sentry provides the following key features:

  • Real-Time Updates: For the first time, developers can fix code-level issues anywhere in the stack well before users even encounter an error.
  • Complete Context: Spend more time where it matters, rather than investing in low-impact issues.
  • Integrate Everywhere: Drop-in integration for every major platform, framework, and language -- JavaScript, Python, PHP, Ruby, Node, Java, .NET, mobile.

"Speed of queries" is the primary reason why developers consider Scalyr over the competitors, whereas "Consolidates similar errors and makes resolution easy" was stated as the key factor in picking Sentry.

Sentry is an open source tool with 21.4K GitHub stars and 2.45K GitHub forks. Here's a link to Sentry's open source repository on GitHub.

According to the StackShare community, Sentry has a broader approval, being mentioned in 1341 company stacks & 434 developers stacks; compared to Scalyr, which is listed in 11 company stacks and 3 developer stacks.

Decisions about Scalyr 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 Scalyr
Pros of Sentry
  • 7
    Speed of queries
  • 4
    Blazing fast logs search
  • 1
    Simple usage
  • 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

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Cons of Scalyr
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

    - No public GitHub repository available -

    What is Scalyr?

    Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.

    What is Sentry?

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

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Scalyr?
    What companies use Sentry?
    See which teams inside your own company are using Scalyr or Sentry.
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    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Scalyr?
    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

    JavaScriptReactAngularJS+8
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    JavaScriptGitHubNode.js+29
    14
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    GitHubPythonReact+42
    49
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    GitHubGitPython+22
    17
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    What are some alternatives to Scalyr and Sentry?
    Sumo Logic
    Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    Wavefront
    Enterprise-grade cloud monitoring and analytics at over 1 million data points per second. Reduce downtime. Boost performance. Be at the Wavefront.
    ELK
    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
    Datadog
    Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
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