StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Error Tracking
  4. Exception Monitoring
  5. Sentry vs Sumo Logic

Sentry vs Sumo Logic

OverviewDecisionsComparisonAlternatives

Overview

Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K
Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21

Sentry vs Sumo Logic: What are the differences?

Key Differences between Sentry and Sumo Logic

Sentry and Sumo Logic are both popular tools used in the field of software development and monitoring. While they serve similar purposes, there are several key differences that set them apart.

  1. Data Collection and Analysis: Sentry primarily focuses on error monitoring and reporting, collecting and analyzing application errors, while Sumo Logic offers a more comprehensive solution for log management and analytics. Sumo Logic allows users to collect and analyze a wide range of data sources, including logs, metrics, and events, providing a holistic view of the application environment.

  2. Real-Time Monitoring vs. Historical Analysis: Sentry focuses on real-time monitoring, providing immediate notifications and insights into errors and exceptions occurring in applications. On the other hand, Sumo Logic excels in historical analysis, allowing users to search, analyze, and visualize log data from past events, enabling troubleshooting, trend analysis, and compliance monitoring.

  3. Deployment and Scalability: Sentry is typically deployed as an on-premises or self-hosted solution, giving users control over infrastructure and data security. Sumo Logic, on the other hand, is a cloud-based service, offering scalability, ease of deployment, and the ability to handle large volumes of data without the need for managing infrastructure.

  4. Alerting Capabilities: Sentry provides customizable alerting capabilities, allowing users to define thresholds and receive notifications when specific error conditions occur. Sumo Logic offers more sophisticated alerting features, including anomaly detection and correlation search, enabling proactive identification of potential issues.

  5. Integration Ecosystem: Both Sentry and Sumo Logic provide integrations with various development and monitoring tools. However, Sentry has stronger integration with application frameworks and programming languages, offering seamless integration with popular platforms such as Python, JavaScript, and Ruby. Sumo Logic, on the other hand, focuses on broader integration with cloud platforms, DevOps tools, and data sources.

  6. Cost and Pricing Model: One notable difference between Sentry and Sumo Logic lies in their pricing models. Sentry follows a usage-based pricing model, charging based on the volume of events and data processed. Sumo Logic, on the other hand, generally offers a subscription-based model, allowing users to ingest and analyze a certain amount of data within a fixed cost.

In summary, while both Sentry and Sumo Logic are valuable tools for monitoring and managing applications, their key differences lie in their focus areas, data collection and analysis capabilities, deployment options, alerting features, integration ecosystem, and pricing models.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Sentry, Sumo Logic

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

Sentry
Sentry
Sumo Logic
Sumo Logic

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

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.

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.
Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications
Statistics
GitHub Stars
42.4K
GitHub Stars
-
GitHub Forks
4.5K
GitHub Forks
-
Stacks
15.1K
Stacks
192
Followers
9.4K
Followers
282
Votes
864
Votes
21
Pros & Cons
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
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Missing Monitoring
  • 1
    Occasionally unreliable log ingestion
Integrations
Sprint.ly
Sprint.ly
C#
C#
PagerDuty
PagerDuty
Twilio
Twilio
Auth0
Auth0
Golang
Golang
Datadog
Datadog
Backbone.js
Backbone.js
Django
Django
Swift
Swift
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail

What are some alternatives to Sentry, Sumo Logic?

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.

Loggly

Loggly

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

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.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana