Amplitude vs Heap: Which Product Analytics Tool Should You Use?
A factual comparison of Amplitude and Heap covering pricing, autocapture, experimentation, and free tier limits to help you pick the right product analytics tool.
Updated 2026-09 · 2026
Amplitude
Digital analytics platform for product, marketing, and engineering teams
Strengths
- +Generous free tier (up to 50,000 MTUs/month)
- +Built-in A/B testing and experimentation (Amplitude Experiment)
- +Predictive analytics and ML-driven insights
Weaknesses
- -Manual event tracking plan still needed for reliable data even with autocapture
- -Advanced features have a steep learning curve
- -Costs scale quickly once you exceed free MTU limits
Best for
Teams with a data/analytics function that need rigorous funnels, experimentation, and predictive modeling in one tool.
Heap
Autocapture analytics that tracks every user interaction without manual event setup
Strengths
- +Full autocapture by default — no manual event instrumentation required
- +Retroactive analysis: query events you didn't explicitly define beforehand
- +Session replay included on paid plans
Weaknesses
- -Pricing above free tier is mostly custom/quote-based, not published
- -Free tier capped at 10,000 sessions/month, tight for growing products
- -No native A/B testing or experimentation module
Best for
Product or marketing teams that want automatic web behavioral tracking without engineering setup time.
Feature Comparison
| Feature | ||
|---|---|---|
| Autocapture (no-code tracking) | Yes (Autocapture + manual events) | Yes, autocapture by default |
| Free tier limit | 50,000 MTUs/month | 10,000 sessions/month |
| Retroactive event querying | Limited to tracked/defined events | Yes — query any past interaction |
| Session replay | Add-on module | Included on paid plans |
| Built-in A/B testing / experimentation | Yes, native Experiment module | No, requires third-party tool |
| Predictive analytics (ML) | Yes | No |
| Data warehouse sync | Yes, via Amplitude Data | Yes, via Heap Connect |
| Mobile SDK support | Strong (iOS, Android, React Native) | Available but less mature |
| Data governance/taxonomy tools | Yes, dedicated governance suite | Basic event labeling and cleanup |
| Pricing transparency | Published self-serve pricing | Mostly custom quotes above free tier |
The Verdict
Amplitude wins for teams that need rigorous funnels, experimentation, and predictive analytics with transparent, self-serve pricing. Heap is faster to set up because of full autocapture, but its opaque paid pricing and lower free-tier session cap make it a weaker fit for small teams trying to control costs long-term.
How to switch from Amplitude to Heap
- 1Export your historical data from Amplitude using the Export API, which returns raw event data as gzipped JSON files for your chosen date range (or sync to a data warehouse via Amplitude Data if you're on a paid plan).
- 2Sign up for Heap and install the Heap autocapture snippet on your web app, or add the Heap mobile SDK for iOS/Android tracking.
- 3Manually recreate your key funnels, events, and cohort definitions in Heap's UI, since imported raw Amplitude data won't automatically populate Heap's saved reports.
- 4Reconnect your integrations (Segment, Salesforce, Slack, data warehouse sync via Heap Connect) inside Heap's settings.
- 5Run Amplitude and Heap in parallel for 2-4 weeks to compare event counts and validate data parity before fully relying on Heap.
- 6Remove Amplitude tracking code/SDKs from your app and downgrade or cancel your Amplitude subscription once the team confirms Heap's data matches expectations.
Amplitude vs Heap: common questions
How do I export my data from Amplitude before switching to Heap?+
Use Amplitude's Export API, which returns raw event data as gzipped JSON files for a specified date range. If you're on a paid plan with Amplitude Data, you can also sync historical data directly to your data warehouse (Snowflake, BigQuery, Redshift) before canceling. Either way, export well before your subscription ends since access to historical data stops when the account downgrades.
What features do I lose if I switch from Amplitude to Heap?+
You lose native A/B testing/experimentation (Amplitude Experiment), predictive ML-based insights, and Amplitude's more mature data governance/taxonomy tools. Heap's autocapture also means you'll need to manually rebuild funnel and cohort definitions since raw exported Amplitude events don't map automatically into Heap's UI.
Is Heap's free plan enough for a small team?+
It depends on traffic — Heap's free tier caps at 10,000 sessions/month, which is workable for an early-stage product with low volume but tight once you start growing. Compare that to Amplitude's free tier at 50,000 MTUs/month, which generally covers more usage before you need to pay.
Does Heap integrate with the same tools as Amplitude?+
Both tools integrate with common stack tools like Segment, Salesforce, HubSpot, Slack, and major data warehouses. Check Heap's and Amplitude's integration marketplaces directly for your specific tools, since coverage isn't identical feature-for-feature on every integration.
Will switching to Heap actually save money long-term?+
Not necessarily — Heap's paid plans (Growth, Pro, Premier) require a custom quote from sales, so there's no guarantee it's cheaper than Amplitude's published tiers once you exceed the free session limit. Get an actual quote from Heap sales and compare it against Amplitude's Plus/Growth pricing at your expected MTU volume before assuming savings.
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