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Sentry

Sentry is a debugging platform for developers. It captures application errors and crashes, then links them with traces, logs, session replays, profiles and metrics so you can see what broke and why. It focuses on exceptions rather than on a general trail of log events.

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Type
Error Tracking

By Egor Burlakov · Edited · Source dates below

Buying snapshot

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Decision pointWhat Sentry states

Setup

Drop in an SDK; no agents to install. A setup wizard installs Sentry with one line for platforms such as Next.js, Angular, Android, iOS, Flutter and React Native.

Official SDKs

JavaScript, Python, Ruby, PHP, Go, Rust, Java/Kotlin, Objective-C/Swift, C#/F#, C/C++, Dart/Flutter, Elixir, Unity, Unreal Engine, Godot Engine and more.

Effect on your app

Sentry says its SDK sends errors asynchronously and does not block, and that it does not affect a website's performance.

Integrations

GitHub, Slack, Jira and Linear, plus an MCP server that gives coding agents Sentry context.

Support

Community support via GitHub and Discord, email support, and on Enterprise a technical account manager and dedicated customer support.

Our take

Choose Sentry when your developers need to find and fix code-level errors across frontend, backend and mobile apps, with each error tied to its trace and replay. The free Developer plan suits a solo project; once more than one person needs access, budget for Team or above.

Evaluate Sentry

Comparisons

Where it stands out

  • Errors become actionable issues. Unhandled exceptions are captured automatically and roll up into issues, with added context about the application state. Workflow features include ownership rules, code owners and suspect commits.

  • One trace across the stack. You can follow a frontend error to the backend code that caused it, and the reverse. Trace View connects transactions across projects, and Suspect Spans find the slowest operation on a service without opening each trace.

  • Tools for AI-assisted work. Seer, the AI debugger and code reviewer, uses logs, commits, traces and stack traces for root cause analysis and fix generation, at extra cost. Agent tracing shows bad tool calls, unexpected output, spend and performance across your AI agents.

Product screenshot

Sentry product interface
Product UI source

Trade-offs to weigh

  • Sampling decides how fast you use the trace quota. Sentry's setup examples capture 100% of transactions and recommend adjusting that in production. With a fixed span quota, the production sample rate sets how quickly you use it. The plan comparison lists spend notifications and a maximum spend threshold.

  • Check the plan for compliance needs. The plan comparison lists SSO with Google, GitHub and SAML2, SCIM, PII management, a HIPAA BAA, SOC2, ISO 27001, data residency and Relay support. The Business card names SAML and SCIM; confirm which plan covers the other items you need.

Pricing and plan conditions

Each plan includes a base quota, and usage above it is billed at pay-as-you-go rates. Team and Business prices are for annual billing with default pre-paid data; Sentry says annual and prepaid options with extra discounts are offered at checkout. On Team, errors above the 50K quota cost $0.0003625 each (50K to 100K), $0.0002188 (100K to 500K), $0.0001875 (500K to 10M), $0.0001625 (10M to 20M) and $0.0001500 (20M+). UI profiling (+$0.25/hr) and continuous profiling (+$0.0315/hr) require pay-as-you-go, and Seer costs extra. New users get 5,000 free session replays a month for their first 3 months.

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Sentry plans

PlanPublished priceWhat the plan includes

Developer

$0

One user, 10 custom dashboards, 20 metric monitors, email alerts, MCP access and a 30-day lookback.

Team

$26/mo, billed annually with default pre-paid data

Developer features plus unlimited users, API and third-party integrations, 20 custom dashboards and up to 90-day lookback.

Business

$80/mo, billed annually with default pre-paid data

Team features plus unlimited custom dashboards, advanced quota management, SAML and SCIM support, 1,000 metric monitors, and up to 90-day lookback with additional sampled retention.

Enterprise

Custom; contact sales

Business features plus a technical account manager and dedicated customer support; custom quotas and retention.

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Included quotas by plan

Data typeDeveloperTeam and BusinessEnterprise

Errors

5k

50k, then pay-as-you-go

Custom

Logs

5GB

5GB, then $0.50/GB

Custom

Application metrics

5GB

5GB, then $0.50/GB

Custom

Tracing

5M spans

5M spans

Custom

Session replay

50 replays

50 replays

Custom

Uptime monitoring

1 monitor

1 monitor, then $1.00 per uptime alert

Custom

Cron monitoring

1 monitor

1 monitor, then $0.78 per monitor

Custom

Attachments

1GB

1GB

Custom

Public signals

About these signals

Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.

5.8k GitHub commits 90d45.6k GitHub stars0 vulnerabilities across 2 packages

See all signals from 8 sources
Source
Signals
Last updated
GitHub
Commits 90d:5.8k↑204Stars:45.6k↑48
October 26, 2026
PyPI
Weekly downloads:35.5M↑1.3M
October 26, 2026
npm
Weekly downloads:25.4M↑2.0M
October 26, 2026
Google Trends
Search interest:Top 4%overall↑1.8999999999999986Top 1%in Observability
October 26, 2026
Hacker News
Matching stories, 90d:0
October 26, 2026
Product Hunt
Comments:18Rating:4.9/5Reviews:91Votes:166
October 26, 2026
Stack Overflow
Questions:1.5k
October 26, 2026
OSV
Package vulnerabilities:0 vulnerabilitiesacross 2 packages

npm · @sentry/node@11.9.0 · PyPI · sentry-sdk@2.73.0

October 26, 2026

Alternatives to Sentry

The reviewed substitutes for Sentry among the error tracking, and what would make each one the better answer.

Other approaches

A different approach to the same problem. Each substitutes only for the workload named beside it.

Datadog
Choose Datadog when you want a single vendor for the whole observability stack and can afford the at-scale bill.Applies to: Whether application errors need a dedicated tool or the observability platform is enough.
New Relic
Choose New Relic when full application monitoring is the primary goal and error tracking doesn't need to be best-of-breed — for specialized error-tracking workflows, Sentry is still sharper.Applies to: Whether application errors need a dedicated tool or the observability platform is enough.
Explore all Sentry alternatives →

Sources