Skip to content
testcritic

LogRocket vs Amplitude

Feature checklists rarely decide anything. What decides it is the pricing metric, who has to write the tests, and which limitation you can live with.

Entry price

From $176 per month (Core, around 25k sessions)

Trial only

Free tier available

Free tier

What drives the bill

The metric that actually scales your invoice.

Priced on the sessions you capture — analytics, logs and errors are unlimited. Plans are Core, Pro and Enterprise, and Pro is included free above 100k sessions a month.

Paid plans are quote-based on monthly tracked users and events; enterprise contracts are substantial.

Free tier

14-day trial with full features; there is no permanently free plan.

Free plan with a monthly event allowance suitable for early-stage products.

Open source

Self-hostable

No-code authoring

Languages

JavaScriptTypeScriptSwiftKotlin
JavaScriptTypeScriptPythonJavaSwiftKotlinGo

Platforms

WebiOSAndroid
WebAPIiOSAndroid

Fits teams

StartupScale-up / mid-marketEnterprise
StartupScale-up / mid-marketEnterprise

Adoption

Widely used

LogRocket · since 2016

Category standard

Amplitude · since 2012

Strengths

  • The technical context makes a support ticket directly actionable by a developer.
  • Error tracking and replay in one tool can replace a separate error monitor.
  • State-management integration is unmatched for React and Redux applications.
  • The deepest retention and cohort analysis in mainstream product analytics.
  • Good free tier for early-stage products.
  • Strong data-governance tooling for event taxonomy.

Limitations

  • Session pricing escalates on high-traffic consumer sites, and there is no free tier to grow into — only a 14-day trial.
  • Recording network payloads requires careful configuration to avoid capturing secrets.
  • Less suited to marketing and conversion analysis than a dedicated experience-analytics tool.
  • Requires deliberate event instrumentation — nothing works without it.
  • Enterprise pricing rises steeply with tracked users.
  • Replay and experimentation are newer and less mature than the analytics core.

Best for

Engineering teams that want to debug production issues from a recording.

Product teams that need rigorous behavioural analysis over time.

All of these integrate with: Slack, Segment.

Pricing last reviewed August 2026 and is indicative only — confirm on each vendor’s own page.