# 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.
### âś… 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](https://betterstack.com/error-tracking)
The most compelling case for switching from Sentry to [Better Stack](https://betterstack.com/error-tracking) 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](https://betterstack.com/log-management), [distributed tracing](https://betterstack.com/tracing), [infrastructure monitoring](https://betterstack.com/infrastructure-monitoring), [uptime monitoring](https://betterstack.com/uptime), and [incident management](https://betterstack.com/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](https://betterstack.com/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](https://betterstack.com/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](https://betterstack.com/community/comparisons/datadog-vs-sentry/).
## 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](https://betterstack.com/community/comparisons/application-performance-monitoring-tools/) worth trying out.
## Want to explore more tools?
Looking for a tool to cater to a very specific use-case? Here are a few lists with logging and bug tracking tools to check out:
- [Datadog vs Sentry](https://betterstack.com/community/comparisons/datadog-vs-sentry/)
- [ELK vs Splunk](https://betterstack.com/community/comparisons/splunk-vs-elastic-stack-elk/)
- [Datadog vs Splunk](https://betterstack.com/community/comparisons/datadog-vs-splunk/)
- [New Relic alternatives](https://betterstack.com/community/comparisons/newrelic-alternatives/)