Compare
FullStory vs LogRocket
FullStory targets product and UX teams; LogRocket targets engineers debugging real issues. Both start with a free-ish evaluation path.
Side by side
| FullStory | LogRocket | |||||||
|---|---|---|---|---|---|---|---|---|
| Vendor | FullStory | LogRocket | ||||||
| Pricing model | Free tier + paid plans | Usage-based | ||||||
| Free tier | Yes | No | ||||||
| Deployment | Cloud | Cloud | ||||||
| Open source | No | No | ||||||
| Best for | Product and UX teams wanting session replay tied directly to automatically detected friction and business metrics. | Engineering teams that want session replay tied directly to error and performance debugging. | ||||||
| Pricing | A free plan covers 30,000 sessions/month with 12 months of retention; paid Business, Advanced and Enterprise tiers require requesting a quote.
Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget. | Billed by sessions captured per month; analytics, errors and logs are unlimited on every plan, with final price also depending on seats, retention and add-ons.
Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget. | ||||||
| Features |
|
|
Verdict
Both tools record session replay and index it for fast search rather than making you scrub through raw video, and both now layer AI on top — FullStory automatically flags rage and dead clicks, LogRocket's Galileo AI generates session summaries and detects issues. The split is who the product is built to hand a recording to first.
FullStory ties replay to funnel and journey analysis and automatically detected frustration signals, aimed at product and UX teams asking "where do users struggle" as a conversion and business-metrics question. It offers a genuine free tier (FullStory Free) covering 30,000 sessions a month with 12 months of retention; anything beyond that requires a quote.
LogRocket pairs the same replay with console logs, network requests, stack traces and performance monitoring, aimed at engineering teams debugging a specific reported bug rather than researching a general UX pattern. It has no free tier; pricing starts around $176/month for 25,000 sessions and scales with volume, seats, retention and add-ons, with a lower-cost conditional-recording option that samples a smaller share of sessions.
Choose FullStory if
- Your primary users are product managers and UX researchers, not engineers reading stack traces.
- You want funnel and journey analytics built around the replay data, not just the recordings themselves.
- A genuinely free tier at real volume (30,000 sessions/month) matters for evaluating the product before committing budget.
Choose LogRocket if
- Engineering owns triage and wants replay synced to console output, network calls and error stack traces in one view.
- You already have (or want) unlimited error and log capture, with cost scaling only by session volume instead of by data type.
- You need a conditional/sampled recording mode to control cost at high traffic without losing error-tied sessions specifically.
What they share
Neither publishes a full self-serve price list past the entry point — FullStory's paid Business, Advanced and Enterprise tiers and LogRocket's Enterprise tier both require a quote. Both integrate with Slack and Jira for routing findings into existing workflows, and both let you mask sensitive fields before recording starts, which is worth verifying on your own forms rather than trusting the default configuration. If your team genuinely spans both audiences — product asking "why" and engineering asking "what broke" — expect to evaluate both against your real traffic rather than deciding from feature lists, since the two tools solve adjacent but distinct problems well enough that either can be stretched to cover the other's job, just less comfortably.
Last reviewed September 22, 2026