13 Best Sentry Alternatives in 2026

Sentry started out as a side project to monitor its founders’ code and grew to be a multinational Full-Stack APM service serving over 3.5M developers.

Originally built for monitoring python applications, Sentry now offers support for most the languages platforms and frameworks including JavaScript, Ruby, Node, Go, React, Rails, Angular, Laravel, Swift, and many more. Sentry.io allows you to monitor many languages and language frameworks in a Self-hosted or SaaS solution. It enables end-to-end distributed tracing and allows you to see exact, poor-pe🏎rforming API calls and discover related errors. Sentry’s Breadcrumbs collecting allows you to monitor trails of events that lead to errors. Version changes allow you to monitor changes and the overall impact of any code pushed for the first time. Sentry also offers an enterprise-ready solution, offering extra features such as cross-functional visibility.

✅ Pros

A reliable error-tracking tool
A myriad of languages and frameworks are supported
Both SaaS and Self-Hosted versions available

❌ Cons

Deploying a full-observability suite with Sentry requires integration with multiple third-party tools, making the entire stack quite expensive

Let’s take a look at some of the best Sentry.io alternatives in 2026.

1. Better Stack

The most compelling case for switching from Sentry to Better Stack is the migration cost: zero. Better Stack's error tracking runs on the Sentry SDK protocol across 100+ platforms — JavaScript, Python, Go, Ruby, Java, .NET, PHP, and more — so redirecting your existing SDK takes under five minutes.

You keep the same instrumentation and get full stack traces, browser context, environment variables, and release-level error trends at roughly one-sixth of Sentry's price. For 100M exceptions stored for 90 days, Better Stack costs approximately $5,000 versus $30,000 on Sentry. Every error includes 1-click AI fix prompts for Claude Code, Cursor, and Codex, and an MCP server lets you query your exception data directly from your AI coding agent. See how error tracking works in practice:

What Sentry does not offer is the full production context around each error. Better Stack's error tracking sits on the same data layer as log management, distributed tracing, infrastructure monitoring, uptime monitoring, and incident management.

When an exception fires, the log lines from that request, the backend trace, and the on-call alert are all attached — no separate tools required.

Real user monitoring adds the frontend layer: session replays link directly to the errors that triggered them, so you can watch exactly what the user was doing when the exception occurred, with Core Web Vitals and Chrome RAM data from that same session alongside it. See how session replay connects to errors and traces during incident investigation:

The AI SRE performs automated root cause analysis across your service map, logs, and traces when incidents escalate beyond a single error. The free plan includes 100,000 exceptions per month with no credit card required. Paid plans start at $29/month.

2. LogRocket

LogRocket offers a complex frontend monitoring and product analysis platform, allowing you to replay sessions, evaluate frontend performance impact, analyze end-user experience track errors, and evaluate metrics critical for conversions.

LogRocket analyses the impact of UX issues, allows you to see user journeys, and also allows for alerting and integration with third-party tools.

3. Dynatrace

Dynatrace’s all-in-one monitoring solution also offers an APM tool for automated observability for cloud-native services. It offers automated discovery and mapping, end-to-end observability, multiplatform app monitoring, and root-cause and impacts analysis.

It’s a feature-packed, enterprise-ready monitoring solution, which often makes it quite pricey and painful to start with.

4. AppSignal

AppSignal is a tool that provides an overview of your performance for frontend and backend, has host monitoring and error tracking, and allows you to collect metrics from your application. Use easy-to-customize dashboards to track load size, database queries, revenue, and more.

It has an anomaly analysis system with some precautionary warnings that trigger when things are not working exactly as they should. The biggest disadvantage is that it lacks fundamental logging and monitoring features.

5.Splunk

Splunk’s APM offers an application performance monitoring and troubleshooting solution for cloud-native microservice-based apps. It promises full-fidelity, 100% tracing, and an AI root cause analysis, anomaly detection, and discovery and mapping.

Since Splunk belongs among the founding members and active contributors to OpenTelemetry, Splunk APM supports open, vendor-neutral instrumentation, allowing for even more flexibility.

6. Bugsnag

Bugsnag allows you to monitor and debug Javascript applications. It automatically detects script errors and offers cross-browser Monitoring and error grouping. It also supports JavaScript frameworks - React, Vue, and Angular with error reporting libraries, which hooks into frameworks’ error handler and reports specific data.

Bugsnag also offers multi-dimensional filtering capacities for browser, OS, user, and other filters. It also supports version benchmarking, automatic diagnostics, stack tracing and source mapping, and breadcrumb collection. Bugsnag offers both SaaS and Self-hosted deployment variants.

7. New Relic

New Relic offers a complete monitoring solution covering APM, K8s monitoring, ML Model Monitoring, Log Management, Synthetics, and more. Their Application Performance Monitoring allows you to navigate and visualize your stack, and it offers most of the features you’d expect from such a popular APM monitoring tool.

8. Raygun

Raygun allows you to monitor JavaScript web applications’ performance and errors and collects data for deeper diagnostic and performance analysis.

Raygun provides you with real-time application performance-related issues for both web and mobile applications. It also collects metrics about customer experience, monitors errors and crashes, and provides code-level insights on any outages. You can deploy Raygun alongside RUM and Crash reporting to obtain a full-observability, client-focused monitoring solution.

9. Jaeger

Built by Uber and then donated to CNCF, Jaeger is a Dapper-inspired, distributed tracing system allowing you to monitor and troubleshoot microservice-based distributed systems. Jaeger supports two open-source NoSQL database backends: Cassandra and Elasticsearch. Jaeger allows you to perform root cause analyses, analyze server dependencies, optimize performance and latency and monitor transactions.

10. SigNoz

SigNoz is an MIT-licensed, open-source alternative to many APM tools. It’s a full-stack observability tool allowing you to monitor metrics and traces, with Log management on the way. SigNoz supports OpenTelemetry for instrumentation and offers out-of-the-box charts and visualizations. It runs on either Kafka+Druid or OLAP database ClickHouse for the backend. The Query service is built-in GO, and the front-end is Typescript-powered.

11. The ELK Stack

Elastic APM is built upon the ELK stack. It’s composed of open source libraries for collecting performance data, a server, receiving performance data, Elasticsearch, and Kibana for visualization. The ELK Stack is one of the most popular data processing stacks out there.

12. AppDynamics

AppDynamics offers a complete Application Monitoring Solution offering full observability enabling you to monitor business-related metrics, user experience, applications, infrastructure, network, and service security. It offers complete visibility into the entire application ecosystem enriched by intelligent insights and instant root-cause analysis to pinpoint the source of issues in real-time. AppDynamics is a part of Cisco

13. Datadog

Datadog's APM offers end-to-end distributed tracing allowing you to monitor your applications across browsers, platforms, and databases to individual commands and code. It correlates frontend and backend data, monitoring service dependencies and health metrics. Datadog uses this data for troubleshooting performance-related issues.

Want to learn more? See Datadog vs. Sentry compared side-by-side here.

Conclusion

In summary, we overviewed Sentry, one of the most popular Application performance monitoring tools available. Then we brought an overview of the Best Sentry alternatives, ranging from freemium to enterprise-focused tools, and added a few open-source APM tools worth trying out.