Start from the error, then watch the replay.
LogRocket is session replay and product analytics first, priced by sessions. Squasher is error monitoring first: browser and server errors, their logs and traces, and the replay of what the user saw.
Free plan. No credit card required.
| Signal | LogRocket | Squasher |
|---|---|---|
| Session replay | Included: Web and mobile | Included: Browser SDK |
| Funnels, heatmaps | Included: Core and up | Not offered or not listed: Not offered |
| Browser errors | Included: Unlimited events | Included: Grouped into issues |
| Server errors | Not offered or not listed: Not listed | Included: Node.js, Workers, Rust |
| Server logs | Partly: Browser console | Included: SDKs, OTLP, drains |
| AI | Costs extra: Galileo on Pro | Included: On every plan |
Product insight, or engineering response?
LogRocket helps product and support teams see where users struggle. Squasher helps engineers find why a request failed.
LogRocket
Pick LogRocket when
- Product, design, or support teams watch sessions every day.
- You need funnels, path analysis, heatmaps, or surveys.
- You want AI summaries of sessions and of user feedback.
- You record native mobile sessions, or need a self-hosted option.
Squasher
Pick Squasher when
- Your errors start on the server as often as in the browser.
- Engineers need server logs and traces next to the replay.
- You want uptime monitors, incidents, and status pages in the same tool.
- You want AI triage on every plan, not only on a higher tier.
LogRocket and Squasher, feature by feature.
LogRocket covers the browser session in depth. Squasher covers the failure from browser to server.
Session replay
- LogRocket
- The core product, web and mobile
- Squasher
- Browser SDK, on by default
Product analytics
- LogRocket
- Funnels, paths, heatmaps, clickmaps
- Squasher
- No
Browser errors
- LogRocket
- JavaScript and network errors, error states
- Squasher
- Browser and Next.js errors, grouped
Server errors
- LogRocket
- Not listed
- Squasher
- Node.js, Workers, Rust, and Sentry SDKs
Logs
- LogRocket
- Console logs and network requests
- Squasher
- Server logs from SDKs, OTLP, and drains
Traces
- LogRocket
- Not listed
- Squasher
- OTLP traces linked to errors by trace ID
AI
- LogRocket
- Galileo summaries and issue detection (Pro)
- Squasher
- AI triage on every plan
AI fix pull requests
- LogRocket
- Not listed
- Squasher
- On Team and up
Privacy
- LogRocket
- Mask data so it never reaches LogRocket
- Squasher
- Mask text, block selectors, beforeSend
Alerts
- LogRocket
- Email, Slack, PagerDuty, webhook
- Squasher
- Slack, email, webhooks, PagerDuty, Telegram
Uptime and status pages
- LogRocket
- Not listed
- Squasher
- Monitors, heartbeats, and status pages
Self-hosted
- LogRocket
- Enterprise
- Squasher
- No
LogRocket facts checked 2026-09-24 on LogRocket’s own pages: LogRocket pricing, LogRocket AI error tracking, LogRocket session replay, Galileo Highlights docs. Squasher facts come from our docs and pricing.
Start from the error, then watch.
Each browser error carries a session ID. The replay view marks the errors and lists the logs and traces from that session.
- Replay starts with init(). Set a low sample rate for production.
- Password inputs are masked by default. Mask all text, or block selectors.
- The replay view shows page changes, error markers, and network timing.
error at 1:031:40
- 14:06:09infoPOST /api/checkout 200 188ms
- 14:06:11infocart.load cart=8f21 items=3
- 14:06:12warnpricing: price pending at render
- 14:06:12errorTypeError: reading 'amount' of undefined
- 14:06:14infoPOST /api/checkout 500 2.31s
- 14:06:15warnretry pricing.load attempt=2
- 14:06:16infoGET /api/cart 200 84ms
- 14:06:18errorTypeError: reading 'amount' of undefined
- 14:06:09infoPOST /api/checkout 200 188ms
- 14:06:11infocart.load cart=8f21 items=3
- 14:06:12warnpricing: price pending at render
- 14:06:12errorTypeError: reading 'amount' of undefined
- 14:06:14infoPOST /api/checkout 500 2.31s
- 14:06:15warnretry pricing.load attempt=2
- 14:06:16infoGET /api/cart 200 84ms
- 14:06:18errorTypeError: reading 'amount' of undefined
Example replay and logs.
The server side of the same failure.
LogRocket sees what the browser saw. Squasher also gets the API's error, logs, and spans for that request.
- Node.js, Next.js, Cloudflare Workers, and Rust SDKs capture server errors.
- OpenTelemetry logs and traces join the error by trace ID.
- AI triage writes the likely cause and a next step, on every plan.
TypeError: Cannot read properties of undefined (reading 'amount')
HighUnresolvedError
AI triage
checkout-api throws a TypeError in production when it reads amount from an undefined value: 1,339 events in 12 minutes. Likely cause: a price is read before it has loaded. Impact: high, the failing requests are checkouts. Next step: guard the read of amount and wait for the price.
- Events
- 1,339
- First seen
- 12 min ago
- Last seen
- 1 min ago
Fingerprint
9f2c41e8a0b7d3c6Issue
- Status
- Unresolved
- Priority
- High
- Environment
- production
- Service
- checkout-api
- Assignee
- Squasher AI
Workflow
Example issue
Priced by sessions, or by signal.
LogRocket counts captured sessions, and errors and logs are unlimited. Squasher plans hold separate allowances for errors, telemetry, and replays.
LogRocket
List prices from their pricing page
- Free
- $0
- 1K sessions a month
- 10K sessions
- From $83/month
- Session replay, product analytics, errors, and logs
- 25K sessions
- From $176/month
- The same products, at more sessions
- Pro
- Free above 100K sessions
- Adds Galileo AI, RBAC, and audit logs
- Enterprise
- Custom
- Unlimited seats, Streaming Data Export, self-hosted option
Squasher
Monthly plans. No per-seat price.
- Free
- $0/month
- 10 GB of errors, logs, traces, and metrics, 5K replays, 30-day error history
- Pro
- $29/month
- 100 GB of errors, logs, traces, and metrics, 10K replays, 90-day error history
- Team
- $99/month
- 250 GB of errors, logs, traces, and metrics, 40K replays, 90-day error history
- Scale
- $299/month
- 1 TB of errors, logs, traces, and metrics, 150K replays, 90-day error history
How to compare
- LogRocket's final price depends on seats, retention length, and add-ons such as Streaming Export.
- Conditional Recording captures only the sessions you choose; LogRocket's example is about 25%.
- LogRocket offers a 14-day free trial of every feature, with no credit card.
LogRocket facts checked 2026-09-24 on LogRocket’s own pages: LogRocket pricing, LogRocket AI error tracking, LogRocket session replay, Galileo Highlights docs. Squasher facts come from our docs and pricing.
Add Squasher for engineers. Keep LogRocket for product.
Nothing moves between them. Install the Squasher SDKs, and let engineers work from errors.
Install the browser SDK
It captures errors, Web Vitals, and session replay from the page.
Browser SDKnpm install @squasher-ai/browserRecord replay with care
Start with a low sample rate, and mask text you should not record.
init({ apiKey: process.env.NEXT_PUBLIC_SQUASHER_API_KEY!, projectId: process.env.NEXT_PUBLIC_SQUASHER_PROJECT_ID!, replay: { sampleRate: 0.05, privacy: { blockSelector: ".pii, [data-private]" }, },});Add the server SDK
Node.js shown. API errors then sit next to the browser's, with their logs.
Node.js guidebun add @squasher-ai/nodeRoute engineering alerts
Send error spikes and incidents to the engineering channel. Product teams keep LogRocket's alerts.
Notification routing
Install Squasher for this project. If Squasher skills or MCP are not configured in this agent environment, run `bash <(curl -fsSL https://squasher.ai/install.sh) --agents -y`. Then read https://skills.squasher.ai/squasher-onboard/SKILL.md, map every runnable app/service/worker/frontend/agent in the repo, choose the matching Squasher SDK, log drain, OTLP, or Agent SDK path, initialize with SQUASHER_API_KEY and SQUASHER_PROJECT_ID from environment variables, send one real verification event, and report the files changed plus the verification step. Do not hardcode or reveal real API keys.bash <(curl -fsSL https://squasher.ai/install.sh) --agents -yQuestions, answered.
Is Squasher a LogRocket alternative?
For engineering teams, yes: session replay tied to errors, plus backend errors, logs, traces, uptime checks, and AI triage. If product teams depend on funnels, heatmaps, and path analysis, LogRocket is the better tool, and the two can run side by side.
Does Squasher have product analytics?
No. There are no funnels, heatmaps, path analysis, or surveys. The browser SDK can send analytics-style events, but Squasher is built to debug failures, not to study user behavior.
How does replay pricing compare?
LogRocket prices by captured sessions: its calculator shows a free plan at 1,000 sessions a month, $83 a month at 10,000, and $176 at 25,000, with errors and logs unlimited. Squasher plans include a replay allowance, starting with 5K replays a month on the free plan, next to a telemetry GB allowance that covers errors and logs. Checked 2026-09-24.
Does Squasher record mobile sessions?
No. Squasher records browser sessions only. LogRocket records both web and mobile sessions.
What does each AI look at?
LogRocket's Galileo summarizes sessions and flags issues, on Pro and Enterprise. Squasher's AI triage reads each new production issue (error type, message, service, environment, and event counts) and writes the likely cause, the impact, and a next step. The Squasher Agent searches logs and traces when you ask.
Can we run both?
Yes. Keep LogRocket for product analytics and send engineering errors to Squasher. If you record replay in both, set Squasher's replay sample rate low, or turn it off with replay: { enabled: false }.
Keep exploring.
Give engineers the error view.
Keep LogRocket for product teams, and send your errors, logs, and traces to Squasher.
Free plan. No credit card required.


