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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Loggly vs Sentry

Loggly vs Sentry

OverviewDecisionsComparisonAlternatives

Overview

Loggly
Loggly
Stacks269
Followers304
Votes168
Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K

Loggly vs Sentry: What are the differences?

Introduction

In this analysis, we will present the key differences between Loggly and Sentry, both of which are popular logging and error tracking platforms used by software developers.

  1. Integration Capabilities: Loggly offers integration with a wide range of systems and platforms including AWS, Azure, Google Cloud, Heroku, and many more, making it flexible and compatible with various environments. On the other hand, Sentry focuses primarily on providing robust integrations with popular programming languages and frameworks such as Python, JavaScript, Ruby, and Java. This allows developers to seamlessly integrate Sentry into their existing development workflows.

  2. Logging Features: Loggly emphasizes extensive log management capabilities, providing features such as log search, filtering, and analytics. It also offers log aggregation and auto-parsing of log data, enabling easy analysis and troubleshooting. Sentry, on the other hand, goes beyond traditional logging and focuses more on error tracking and exception monitoring. It provides detailed error reports, exception handling, and real-time alerts, allowing developers to identify and resolve issues quickly.

  3. Scale and Performance: Loggly is designed to handle large volumes of log data efficiently, making it suitable for high-traffic applications and large-scale infrastructures. It offers scalable infrastructure and supports high throughput log ingestion. Sentry, while also capable of handling significant volumes of logging data, prioritizes real-time error tracking and exception monitoring rather than high-volume log management.

  4. Pricing Model: Loggly follows a tiered pricing model based on the volume of log data processed and storage requirements. It offers various plans tailored to different usage levels. On the other hand, Sentry offers a flexible and transparent pricing structure based on the number of events and users. This allows developers to choose a pricing plan that aligns with their specific needs and requirements.

  5. User Interface: Loggly provides a user-friendly web interface with intuitive navigation and an easy-to-use search functionality. It offers visualizations and customizable dashboards for data analysis and monitoring. Sentry also offers a well-designed and intuitive user interface but focuses more on providing comprehensive error reporting and exception details for effective debugging.

  6. Community and Support: Loggly has an active user community and provides extensive documentation, tutorials, and forums for user support and knowledge sharing. It also offers email-based customer support for its users. Sentry boasts a strong developer community and provides dedicated support channels including a public issue tracker and a community-driven plugin ecosystem. It also offers professional support options for enterprise customers.

In Summary, Loggly and Sentry differ in terms of integration capabilities, logging features, scalability, pricing models, user interface, and support options, enabling developers to choose the platform that best aligns with their specific needs and requirements.

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Advice on Loggly, Sentry

Nicholas
Nicholas

Jun 1, 2020

Decided

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...

250k views250k
Comments

Detailed Comparison

Loggly
Loggly
Sentry
Sentry

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

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

See what your application is doing during development;Catch exceptions and track execution flow;Graph and report on the number of errors generated;Search across multiple deployments;Narrow down on specific issues;Investigate root cause analysis;Monitor for specific events and errors;Trigger alerts based on occurrences and investigate for resolutions;Track site traffic and capacity;Measure application performance;A rich set of RESTful APIs which make data from applications easy to query;Supports oAuth authentication for third-party applications development (View our Chrome Extension with NewRelic);Developer ecosystem provides libraries for Ruby, JavaScript, Python, PHP, .NET and more
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.;Root Cause: See the events that lead to errors so you always debug the right thing the first time.;Private & Secure: Sentry is SOC-2 compliant with GDPR, PCI DSS, HIPAA, and Privacy Shield by default.;Open Source: Sentry is 100% open source and available on GitHub.
Statistics
GitHub Stars
-
GitHub Stars
42.4K
GitHub Forks
-
GitHub Forks
4.5K
Stacks
269
Stacks
15.1K
Followers
304
Followers
9.4K
Votes
168
Votes
864
Pros & Cons
Pros
  • 37
    Centralized log management
  • 25
    Easy to setup
  • 21
    Great filtering
  • 16
    Live logging
  • 15
    Json log support
Cons
  • 3
    Pricey after free plan
Pros
  • 238
    Consolidates similar errors and makes resolution easy
  • 121
    Email Notifications
  • 108
    Open source
  • 84
    Slack integration
  • 71
    Github integration
Cons
  • 12
    Confusing UI
  • 4
    Bundle size
Integrations
Heroku
Heroku
Amazon S3
Amazon S3
New Relic
New Relic
AWS CloudTrail
AWS CloudTrail
Engine Yard Cloud
Engine Yard Cloud
Cloudability
Cloudability
Sprint.ly
Sprint.ly
C#
C#
PagerDuty
PagerDuty
Twilio
Twilio
Auth0
Auth0
Golang
Golang
Datadog
Datadog
Backbone.js
Backbone.js
Django
Django
Swift
Swift

What are some alternatives to Loggly, Sentry?

Rollbar

Rollbar

Rollbar is the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate ra

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Bugsnag

Bugsnag

Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Opbeat

Opbeat

Opbeat is application monitoring for developers, and gives you performance metrics, error logging, release tracking and workflow in one smart product.

Airbrake

Airbrake

Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

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.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

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