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. Prometheus vs Sentry

Prometheus vs Sentry

OverviewDecisionsComparisonAlternatives

Overview

Sentry
Sentry
Stacks15.1K
Followers9.4K
Votes864
GitHub Stars42.4K
Forks4.5K
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Prometheus vs Sentry: What are the differences?

Prometheus is an open-source monitoring and alerting toolkit, while Sentry is an open-source error tracking solution. Let's explore the key differences between them.

  1. Data Collection and Storage: Prometheus collects and stores time series data, including metrics, while Sentry focuses on capturing and managing application-level errors and exceptions. Prometheus uses a pull-based model to scrape data from various targets, while Sentry receives errors directly from applications via SDKs.

  2. Alerting Capabilities: Prometheus has powerful built-in alerting functionalities, allowing users to define and customize alerts based on specified thresholds or conditions. On the other hand, Sentry provides real-time notifications for events and errors, but it does not feature the extensive alerting capabilities like Prometheus.

  3. Metrics Monitoring vs Error Tracking: Prometheus is primarily designed for monitoring metrics, providing detailed insights into system performance and resource utilization. Sentry, on the other hand, is focused on error tracking and reporting, helping developers identify and fix bugs and issues in their applications.

  4. Support for Multiple Data Sources: Prometheus supports a wide range of integrations and can scrape metrics from various sources, such as applications, databases, and APIs. Sentry integrates seamlessly with popular programming languages and frameworks, making it easy to capture and track errors across different platforms.

  5. Visualization and Dashboards: Prometheus offers a built-in visualization tool called Grafana, which allows users to create real-time dashboards and graphs for monitoring metrics. Sentry also provides a simple interface to visualize errors and events, enabling developers to analyze and debug issues effectively.

  6. Scalability and Performance: Prometheus is known for its scalability and ability to handle large-scale deployments, making it suitable for monitoring complex systems. While Sentry can handle a substantial volume of errors, it is primarily focused on error tracking and may not be as scalable as Prometheus in terms of monitoring a vast number of metrics.

In summary, Prometheus is a comprehensive monitoring and alerting tool, primarily used for collecting and analyzing metrics, while Sentry is a specialized error tracking solution that helps in identifying and resolving application-level errors.

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, Prometheus

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

Sentry
Sentry
Prometheus
Prometheus

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

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
42.4K
GitHub Stars
61.1K
GitHub Forks
4.5K
GitHub Forks
9.9K
Stacks
15.1K
Stacks
4.8K
Followers
9.4K
Followers
3.8K
Votes
864
Votes
239
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
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
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
Grafana
Grafana

What are some alternatives to Sentry, Prometheus?

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

Grafana

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.

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.

Kibana

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.

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.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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