LogFlow vs Sentry: Log Management vs Error Tracking (2026)

Sentry and LogFlow are often mentioned in the same conversation, but they solve different problems. Understanding the distinction helps you decide what you actually need.

Sentry is an error tracker. It captures exceptions — with full stack traces, breadcrumbs, affected user counts, and release correlation. If an error throws in your app, Sentry catches it, groups it with similar errors, and tells you exactly where in the code it happened.

LogFlow is a log management platform. It collects everything your services emit — not just errors, but info logs, debug traces, warnings, HTTP requests, background job output, and structured events. It gives you full-text search, alerting on any condition, anomaly detection, and a live tail of everything happening across your infrastructure.

TL;DR: If you only have errors from uncaught exceptions and want rich stack trace grouping, Sentry is the right tool. If you want visibility into your entire application — what's happening, not just what's crashing — you need log management. Many teams use both.

Pricing Comparison

	LogFlow	Sentry
Free tier	500 MB/mo, 3 days	5,000 errors/month
Entry paid	$19/mo (10 GB, 14 days)	$26/mo (50k errors/month, Team)
Mid tier	$49/mo (100 GB, 30 days)	$80/mo (100k errors, Business)
Pricing unit	GB ingested per month	Errors per month
Retention	Up to 90 days	90 days (Business)
Log search	✓ Full-text on all fields	Error context only
Services	Unlimited on Growth+	Unlimited

Feature Comparison

Feature	LogFlow	Sentry
Error capture	✓ via error/fatal log levels	✓ Automatic exception capture
Stack traces	— (log-based, not exceptions)	✓ Full stack traces
Source maps	—	✓ Minified JS de-obfuscation
Session replay	—	✓ (Performance tier)
Full-text log search	✓ All log fields	✗ Error message only
Info/debug/warn logs	✓	✗
Live tail	✓	✗
Anomaly detection	✓ Built-in	✗
Log-based alerting	✓ rate, volume, keyword	✓ Error rate only
Structured search	✓ `field:value`	Limited
Trace correlation	✓ trace_id linking	✓ Distributed tracing
Service map	✓ (Growth+)	✓ Performance only
Browser SDK	✓	✓
OpenTelemetry	✓	✓
Deployment tracking	✓ Deployment markers	✓ Release tracking
Team members	Up to 25 (Pro)	Unlimited

What Sentry Does Better

Stack traces. When an exception is thrown, Sentry captures the full call stack, local variables, the sequence of user actions that led to the crash, and groups it with every other instance of the same error. This is the gold standard for exception-level debugging.

JavaScript source map support. If you ship minified frontend code, Sentry can map minified stack frames back to your original source. LogFlow captures browser errors but shows the raw (potentially minified) message.

Session replay. Sentry's Business plan can replay the user's browser session leading up to an error. Invaluable for UI bugs that are hard to reproduce.

Release correlation. Sentry tracks which version introduced an error and whether a new release resolved it.

What LogFlow Does Better

Full observability beyond errors. Your application emits thousands of info and debug log lines for every one error. Background jobs completing, cache misses, slow queries, authentication events — Sentry sees none of this. LogFlow sees all of it.

Non-exception alerts. Want an alert when a specific user ID appears in logs, when a background queue falls behind, or when a third-party API starts returning slow responses? These aren't exceptions — they're patterns in your logs. You can alert on them in LogFlow with log-based alerts but not in Sentry.

Infrastructure and service logs. Your database, nginx, Redis, and background workers don't throw exceptions — they write logs. Sentry can't see them. LogFlow can.

Anomaly detection. LogFlow automatically watches for unusual error rate spikes, sudden volume changes, and silence from services that should be active. Sentry only alerts on error rates you configure manually.

Cost at scale. Sentry's pricing is per event. A service that throws 1 million errors during an incident generates 1 million events — and a large bill. LogFlow's flat pricing doesn't penalize you for noisy incidents.

Using Both Together

This is the most common setup for teams that care about observability:

Sentry for frontend JavaScript exceptions with stack traces and session replay
LogFlow for all backend logs, infrastructure logs, structured events, anomaly detection, and alerting

They complement each other well. Sentry tells you what crashed in the frontend. LogFlow tells you why — what the API was returning, what the backend services were doing, what errors appeared in the services that the frontend was calling.

Both support OpenTelemetry, so you can share trace IDs across the two tools and correlate a frontend exception in Sentry with the backend log trail in LogFlow.

LogFlow's Error Grouping

If you want Sentry-like error grouping without Sentry, LogFlow has a built-in Issues feature. It fingerprints error and fatal logs, groups similar messages, tracks first/last seen, and lets you resolve or mute groups. It's not as detailed as Sentry's stack trace grouping, but for backend services that log errors (rather than throw exceptions), it covers the same need.

Which One Do You Actually Need?

Start with one question: are you primarily debugging exceptions, or are you debugging application behavior?

Exception debugging → Sentry (plus LogFlow for the backend context)
Application behavior → LogFlow
Both → both, they're cheap enough that it's worth having both

Try LogFlow free — no credit card, 500 MB/month forever on the free tier.