TL;DR Verdict
Amplitude wins for most product and growth teams that want deep, structured behavioral analytics and have the engineering bandwidth to instrument events properly. Heap is the better pick for smaller teams and non-technical operators who need instant insights without writing a single line of event tracking code. For solopreneurs and early-stage startups with no dedicated data engineer, Heap gets you further, faster.
Quick Comparison Table
| Feature | Heap | Amplitude |
|---|---|---|
| Pricing (starting) | Free tier; paid from ~$3,600/year | Free tier; paid from ~$49/month |
| Free tier | Yes, up to 10,000 monthly sessions | Yes, up to 50,000 monthly tracked users |
| Best for | Non-technical teams, retroactive analysis | Product teams, growth analytics at scale |
| Key strength | Autocapture with no event tagging required | Powerful funnels, retention, and cohort analysis |
| Biggest weakness | Gets noisy fast; pricing jumps sharply | Requires upfront event instrumentation |
| Learning curve | Low to medium | Medium to high |
| Integrations count | ~50+ | 200+ |
| Customer support | Email and docs; paid tiers get dedicated CSM | Email and docs; enterprise gets dedicated support |
What Heap Does Well
Heap built its reputation on one idea: you should not have to plan what to track before you track it. When you install the Heap snippet on your site or app, it captures every click, tap, form submission, and page view automatically. No event taxonomy meetings. No waiting for engineers to ship new tracking code before you can run an analysis.
That autocapture approach is especially powerful when you realize, three months after launch, that you want to know how many users clicked a button you never thought to tag. With Heap, that data already exists. You just define the event retroactively and the historical data populates immediately. That is a concrete problem that Heap solves and nothing else in its price range does as cleanly.
Pricing is not fully transparent on the website, but Heap offers a free plan that supports up to 10,000 monthly sessions. Paid plans start around $3,600 per year on the Growth tier, and enterprise pricing is custom. After the Contentsquare acquisition in 2023, Heap has been bundled more tightly with session replay and heatmap capabilities, which adds real value if you are already paying for Contentsquare or want a single behavioral suite.
Standout features:
- Autocapture: every user interaction recorded from day one, no SDK event calls required
- Retroactive event definition: name and analyze any past interaction after the fact
- Session replay integration: watch real user sessions tied directly to your funnel data
- Visual labeling: non-engineers define events by clicking elements in the Heap visual labeler, no code needed
- Heap Connect: send raw event data to your warehouse (Snowflake, BigQuery, Redshift) for deeper SQL analysis
Who should pick Heap? Teams with limited engineering resources, product managers who run their own analysis, and early-stage companies that want full behavioral coverage before they have the infrastructure to maintain a formal event taxonomy.
What Amplitude Does Well
Amplitude has been the default choice for serious product analytics since around 2016, and it has earned that position by going deep on behavioral analysis features that actually drive product decisions.
The core workflow in Amplitude revolves around a structured event model. You instrument the events you care about, define your user properties, and then Amplitude gives you tools that make those events genuinely useful: multi-step funnels with conversion windows, retention curves broken down by cohort, behavioral cohorts you can build without SQL, and a chart builder that non-technical users can navigate after a day of practice.
Amplitude’s free Starter plan is generous by industry standards. You get up to 50,000 monthly tracked users with access to core charts, funnels, and retention. Paid plans start around $49 per month for the Plus tier, billed annually, which adds more data history and collaboration features. Growth and Enterprise tiers are custom-priced and unlock things like data governance, SSO, and dedicated account management.
Standout features:
- Funnels: multi-step conversion analysis with holdout and ordering flexibility
- Retention analysis: N-day and unbounded retention, broken down by any property or cohort
- Behavioral cohorts: define groups of users by what they did, not just who they are, and reuse those cohorts across charts
- Amplitude Experiment: built-in feature flagging and A/B testing tied directly to your analytics data
- Amplitude CDP: a customer data platform layer for identity resolution and syncing across tools
Amplitude fits product teams at growth-stage companies, BI teams that already have event tracking in place, and organizations running frequent experiments that need to tie test results back to product behavior.
Head-to-Head Comparison
Pricing and Value
Heap’s free tier covers up to 10,000 monthly sessions, which is enough for a very small product but disappears quickly once you have any traction. The jump to paid plans is steep at around $3,600 per year. That said, autocapture means you are buying data completeness without ongoing engineering cost. If your team spends hours each sprint writing and QA-ing tracking code, Heap’s total cost of ownership can be lower than it looks on a pricing page.
Amplitude’s free tier is significantly more generous at 50,000 monthly tracked users, and the entry-level paid plan at around $49 per month is accessible to solopreneurs and small teams. The pricing scales with tracked users and data history, so larger companies will need to negotiate enterprise contracts. For teams already disciplined about event tracking, Amplitude’s ROI is high because the advanced analytics features unlock real decisions.
On pure entry-level affordability, Amplitude wins. On value per implementation hour for a small non-technical team, Heap is competitive.
Ease of Use
Heap wins the setup race. Paste one script tag and you have retroactive data collection running. You do not need to define a single event before your first analysis. The visual labeler means a product manager can create an event without pinging engineering.
Amplitude’s setup requires planning. You need to decide which events matter, write SDK calls or configure a CDP source, and validate that data is coming in cleanly before you can do anything useful. That upfront investment pays off later because structured data is easier to query and less noisy, but it is a real barrier for smaller teams.
Once both tools are set up, Amplitude’s UI is more polished for complex analysis. Building a multi-step funnel with behavioral cohort breakdowns is faster in Amplitude than building an equivalent view in Heap. Heap’s interface can feel cluttered when working with autocaptured data because there are hundreds of raw events to filter through.
Integrations and Ecosystem
Amplitude’s 200+ integrations cover essentially every major data source, CDP, warehouse, and marketing tool. Segment, Braze, Salesforce, HubSpot, Snowflake, dbt, LaunchDarkly, all the standard tools that modern data stacks rely on. The Amplitude Marketplace has pre-built connectors that are well-maintained and documented. For teams already running a modern data stack, Amplitude slots in cleanly.
Heap has around 50+ integrations focused on the core stack: Salesforce, HubSpot, Segment, Slack, and major data warehouses via Heap Connect. Heap Connect is genuinely useful for teams that want to query raw session data in SQL. The integration count is not a dealbreaker for smaller teams, but if you are running 10 or more marketing and product tools simultaneously, Amplitude’s ecosystem is simply larger.
Performance and Scale
Both tools handle millions of events per month without issue at the technical level. The difference shows up at the analytics layer. Heap’s autocapture model means you are collecting far more events than you actually analyze. That creates query performance challenges at scale because every analysis has to filter through a large, undifferentiated event stream.
Amplitude’s structured event model keeps the dataset cleaner. Queries run against a smaller, intentional set of events, which means dashboards load faster and ad hoc analyses feel more responsive. For companies above roughly five million monthly events, this difference becomes noticeable in day-to-day work.
Support and Documentation
Amplitude’s documentation is one of its genuine competitive advantages. The help center is detailed, the changelog is public, and there is an active community forum where product analytics practitioners share chart templates and cohort strategies. Paid tiers get customer success managers, and enterprise contracts include dedicated technical account management.
Heap’s documentation has improved since the Contentsquare acquisition, but it still lags behind Amplitude in depth. The visual labeler and autocapture concepts are well-documented, but advanced use cases like warehouse sync configuration or complex funnel logic are less thoroughly covered. Higher-tier plans get dedicated support, but entry-level users rely on self-service resources.
Which One Wins for Your Use Case
Pick Heap If…
You are an early-stage startup or a small product team with limited engineering resources. You want immediate data coverage without planning an event taxonomy upfront. You have tried to get engineering to instrument events and it keeps falling off the sprint backlog. You also care about session replay and want to keep your behavioral analytics stack in one place, particularly if you are already a Contentsquare customer or evaluating it alongside Heap.
Pick Amplitude If…
You have a product team of three or more people who run regular experiments and need structured funnel and retention analysis. You already have an event tracking setup or can build one, and you want maximum analytical value from clean, instrumented data. You are at a growth-stage or enterprise company that needs a large integration ecosystem, data governance features, and the ability to run A/B tests tied directly to your analytics layer. If you are also comparing against other options in the space, Mixpanel vs Amplitude is worth reading before you commit.
Consider Something Else If…
If neither tool fits because you need a free, lightweight solution for a content site, a simple e-commerce store, or a very lean SaaS with minimal event complexity, there are solid alternatives. Mixpanel has a competitive free tier. PostHog is open-source and self-hostable. Google Analytics 4 covers basic traffic analysis at zero cost. You can browse the full data analysis tool reviews for a broader comparison, and the product analytics setup guide will help you figure out what level of tooling your current stage actually needs before spending money on either platform.
Frequently Asked Questions
Is Heap free to use?
Heap offers a free plan that supports up to 10,000 monthly sessions. It includes autocapture and basic funnel analysis. Once your traffic grows past that threshold, you will need to move to a paid plan starting around $3,600 per year.
Is Amplitude free to use?
Yes. Amplitude’s Starter plan is free for up to 50,000 monthly tracked users and includes core charts, funnels, and retention analysis. It is one of the more generous free tiers in the product analytics space and works well for early-stage products.
Which tool has a steeper learning curve?
Heap has a lower barrier for initial setup because there is no event taxonomy to build first. Amplitude requires more upfront planning but rewards that investment with a more structured and queryable dataset. Power users generally find Amplitude’s advanced features easier to navigate once the data layer is clean and instrumented.
Can I migrate from Heap to Amplitude or vice versa?
Migration between these tools is doable but not trivial. You will lose historical data from the old platform unless you export it to a warehouse first. Heap Connect and Amplitude’s warehouse integrations both support Snowflake and BigQuery, so a warehouse-first strategy makes an eventual platform switch much easier. Plan for at least two to four weeks of parallel tracking during any migration.
What kind of customer support do these tools offer?
Both tools offer email support and self-service documentation on all plans. Higher-tier plans at both Heap and Amplitude include dedicated customer success managers. Amplitude has the edge on community support with a more active user forum and more comprehensive public documentation overall.
Bottom Line
For most product and growth teams, Amplitude is the more powerful long-term choice. Its structured event model, deep funnel and retention analysis, and large integration ecosystem make it the practical pick for anyone running a data-informed product. Heap earns its place for teams that cannot afford the engineering time to build and maintain a proper event taxonomy, and its autocapture approach delivers real value for early-stage products and non-technical operators.
If you are a solopreneur or running a scrappy team, start with Amplitude’s free tier and see how far it takes you before committing to a paid plan. If you are at an early-stage startup with a non-technical founding team and you want full behavioral data from day one, Heap’s autocapture will save you weeks of instrumentation work and let you ask questions about your users before you even know what questions to ask.
Want to try Amplitude? Start with Amplitude and see if it fits your workflow.