Heap vs Amplitude: Which is Better in 2026?
Amplitude and Heap are the two dominant product analytics platforms, but they are built on opposite philosophies. Amplitude requires teams to manually instrument every event they want to track, then rewards that upfront effort with deep behavioral analytics, predictive cohorts, and a full A/B experimentation suite. Heap captures every user interaction automatically from day one, letting teams define and analyze events retroactively without touching code again. This comparison is for product managers and engineers who need to decide whether instrumentation control or zero-friction autocapture is the right foundation for their analytics stack.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
Heap
Automatic product analytics for user behavior insights
Best for you if:
- • You need product analytics features specifically
- • Heap is a digital analytics platform that captures all user interactions automatically
- • It provides retroactive analytics without manual event tracking for product insights
Amplitude
Understand user behavior with product analytics and experimentation
Best for you if:
- • You need web analytics features specifically
- • Product analytics platform
- • User behavior tracking
| At a Glance |  Heap |  Amplitude |
|---|---|---|
Starts at | FreeFree tier available | FreeFree tier available |
Best For | Product Analytics | Web Analytics |
Rating | 4.4/5 | 4.5/5 |
Choose Heap or Amplitude?
Choose Heap if
Automatic product analytics for user behavior insights
- Auto-capture
- Retroactive data
- Easy setup
- Your work is product analytics-shaped, not web analytics-shaped
Choose Amplitude if
Understand user behavior with product analytics and experimentation
- Powerful analytics features
- Good free tier
- Strong cohort analysis
- Your work is web analytics-shaped, not product analytics-shaped
| Feature | Heap | Amplitude |
|---|---|---|
| Pricing Model | Freemium | Freemium |
| User Rating | ★4.4/5 1,129 reviews | ★4.5/5 2,732 reviews |
| Categories | Product AnalyticsWeb Analytics | Web AnalyticsProduct Analytics |
In-Depth Analysis
Heap
Strengths
- +Autocapture: installs via a single JavaScript snippet and immediately records every click, form submit, and page view without any additional code
- +Retroactive event definition lets teams answer questions about past user behavior even if those events were never tagged upfront
- +Contentsquare-powered session replay and heatmaps give visual context to quantitative funnel data
- +Fastest time-to-first-insight in the category, typically hours versus weeks for instrumentation-heavy competitors
- +Sense AI assistant surfaces patterns and anomalies automatically, reducing the need for analysts to run manual queries
Weaknesses
- -No native A/B testing or experimentation engine; teams need a separate tool for feature flagging and experiment analysis
- -Autocapture generates high data volume and noise, requiring ongoing cleanup to distinguish signal from meaningless interactions
- -Predictive analytics and ML-powered cohorts are absent, limiting proactive use cases like churn prevention
- -Pricing requires a sales conversation even for the Growth tier, with no public per-seat or per-session rates beyond the free plan estimate flow
Best For
Product teams at startups or mid-market companies that need immediate analytics coverage without engineering bandwidth for instrumentation, or teams that frequently explore retroactive questions about past user behavior.
Heap removes the single biggest barrier to product analytics adoption: the instrumentation sprint. Any team can install it and have complete behavioral data in under a day. The cost of that convenience is a noisier dataset, no native experimentation, and a sales-gated pricing model that makes budget forecasting opaque until late in the evaluation process.
Amplitude
Strengths
- +Industry-leading behavioral analytics depth: retention curves, funnels, revenue analysis, and cohort breakdowns all in one platform
- +Built-in A/B experimentation with multi-armed bandit and mutual exclusion group support (Growth and Enterprise plans)
- +ML-powered predictive cohorts that forecast which users are likely to convert, churn, or upgrade
- +Strong data governance via Taxonomy: teams can standardize event naming, add descriptions, and prevent schema drift across engineering orgs
- +Generous free Starter tier (10K MTUs, 2M events/month) with session replay and unlimited feature flags included
Weaknesses
- -Every new interaction to analyze requires upfront engineering instrumentation; missed events mean permanent data gaps
- -MTU-based pricing scales steeply: median buyers spend roughly $64,700 per year once they outgrow the Plus tier
- -No retroactive analysis for uninstrumented events, so questions you did not anticipate at setup cannot be answered from historical data
- -Experimentation and advanced features are gated behind Growth and Enterprise tiers, which require custom quotes
Best For
Product and engineering teams at growth-stage or enterprise companies that can invest in proper event instrumentation and need deep behavioral analysis, predictive audiences, and a built-in experimentation platform.
Amplitude is the right choice when analytical depth matters more than speed of setup. Its predictive cohorts, A/B testing engine, and governance tooling make it a full product intelligence platform rather than just an analytics tool. The tradeoff is real: instrumentation takes weeks and missed events are unrecoverable, so it rewards teams with dedicated data or analytics engineers.
Head-to-Head Comparison
Pricing
Amplitude winsAmplitude's free Starter plan (10K MTUs, 2M events) and transparent Plus tier at $49/month give teams clear cost visibility from day one. Heap's free plan covers 10K monthly sessions, but the Growth, Pro, and Premier tiers all require a sales call just to see a number, which adds friction to budget planning. At scale both platforms become expensive, but Amplitude's published pricing makes financial modeling possible without a vendor conversation.
Ease of Use
Heap winsHeap wins the setup race by a wide margin. A single snippet delivers immediate full-coverage data; no engineering sprint, no event taxonomy to design. Amplitude's interface is polished and its dashboards are powerful, but realizing that power requires instrumentation work that can take weeks for a complex product. For non-technical product managers who need answers quickly, Heap's autocapture and Sense AI lower the floor significantly.
Integrations
TieBoth platforms connect to the major CDP, warehouse, and marketing automation tools: Segment, Rudderstack, Snowflake, BigQuery, Salesforce, HubSpot, and dozens of others. Amplitude edges ahead on data warehouse sync granularity and its Amplitude CDP layer for audience activation. Heap's Premier plan adds native warehouse integration but positions it as an enterprise add-on. For most mid-market stacks, either platform covers the integrations needed.
Analytics Depth
Amplitude winsAmplitude was purpose-built for deep behavioral analysis and it shows. Funnel analysis, retention curves, revenue analytics, user-level path analysis, and predictive cohorts are first-class features. Heap's exploratory analytics are solid for autocaptured data, but segmentation granularity is lower and there is no equivalent to Amplitude's predictive or causal insights layer. Teams that need to answer complex, multi-step behavioral questions consistently choose Amplitude.
Experimentation
Amplitude winsAmplitude ships a full experimentation suite: A/B tests, multi-armed bandit, mutual exclusion groups, and a code editor for feature flag management, all on Growth and Enterprise plans. Heap has no native experimentation. Heap users must integrate LaunchDarkly, Optimizely, or a similar third-party tool and then join experiment data back to behavioral data manually, which adds engineering overhead and introduces potential data sync delays.
Implementation Speed
Heap winsHeap's autocapture philosophy means a product team can go from zero to full session coverage in hours. Amplitude's median implementation for a mid-size SaaS product takes two to four weeks of engineering time to define the event taxonomy, instrument calls, validate data quality, and build initial dashboards. For teams evaluating both tools on a tight timeline, Heap delivers usable data before Amplitude's instrumentation is even half-complete.
Migration Considerations
Teams moving from Amplitude to Heap should plan for one to two weeks of parallel running to validate autocapture coverage against their existing instrumentation. The reverse migration is harder: switching from Heap to Amplitude requires building an event taxonomy from scratch and instrumenting every interaction you care about, typically a three to six week engineering project. During that window, historical Heap data does not transfer in a queryable form into Amplitude, so teams lose retroactive access. If you are evaluating both platforms, run a Heap proof-of-concept first since it is faster to trial; if you commit to Amplitude, treat instrumentation as a foundational investment rather than an afterthought.
Pricing: Heap vs Amplitude
| Plan | Heap | Amplitude |
|---|---|---|
| Tier 1 | Free Free | $0 Starter |
| Tier 2 | $300 Growth | $49 Plus |
| Tier 3 | Custom Pro | Custom Growth |
| Tier 4 | N/A | Custom Enterprise |
Pricing verified from each vendor's public pricing page. Compare in detail on Heap pricing and Amplitude pricing.
Who Should Use What?
On a budget?
Both are freemium. Compare plans on their websites.
Go with: Heap
Want the highest-rated option?
Heap: 4.4/5 (1,129 reviews). Amplitude: 4.5/5 (2,732 reviews).
Go with: Amplitude
Value user reviews?
Heap: 1,129 reviews (4.4/5). Amplitude: 2,732 reviews (4.5/5).
Go with: Amplitude
3 Questions to Help You Decide
What's your budget?
Both are freemium. Pricing won't help you decide here.
What's your use case?
Heap is a product analytics tool. Amplitude is in web analytics. Pick the category that matches your needs.
How important are ratings?
Amplitude is rated higher: 4.5/5 vs 4.4/5.
Key Takeaways
Amplitude
- Higher user rating: 4.5/5 vs 4.4/5
- Larger review base (2,732 reviews)
- Free tier available
- Our pick for this comparison
Heap
- Better fit for product analytics
The Bottom Line
Choose Amplitude if your team has the engineering bandwidth to instrument events properly and needs predictive cohorts, a built-in experimentation platform, or enterprise-grade data governance. It is the analytically deeper tool and earns its complexity for teams that will use it fully. Choose Heap if you need analytics coverage immediately, your product changes rapidly and retroactive event definition is valuable, or your team lacks dedicated data engineering resources. Heap is not a stepping-stone to Amplitude: it is a distinct philosophy about how analytics should work, and many mature product teams stick with it long-term precisely because it never requires a re-instrumentation sprint. The one scenario where neither tool fits cleanly is a team that needs both zero-friction autocapture AND a built-in experimentation engine: in that case, PostHog or Mixpanel may be worth evaluating alongside these two.
Frequently Asked Questions
Does Heap replace the need for manual event tracking entirely?
Heap's autocapture eliminates most manual instrumentation: clicks, form submissions, and page views are captured automatically. However, teams still need to define named events (called Heap Events) in the visual editor to make autocaptured interactions queryable in funnels and cohorts. The difference is that this definition happens retroactively in the UI, not in code at the time of deployment.
How much does Amplitude cost for a mid-size SaaS company?
The free Starter plan covers 10,000 monthly tracked users (MTUs) and 2 million events. The Plus plan starts at $49 per month (billed annually) for up to 300K MTUs or 25M events. Beyond that, Growth and Enterprise plans require custom quotes; industry data puts median spend for growing SaaS companies at roughly $64,700 per year once they exceed Plus tier limits.
Can Heap run A/B tests?
No. Heap does not include a native experimentation engine. Teams using Heap for A/B testing need to integrate a dedicated tool such as LaunchDarkly, Optimizely, or Statsig, then connect experiment exposure data back to Heap for behavioral analysis. Amplitude, by contrast, ships a full experimentation suite on its Growth and Enterprise plans.
Which tool is better for non-technical product managers?
Heap has a lower floor for non-technical users. Autocapture means PMs can explore user behavior from day one without waiting for engineering to instrument events. Amplitude's dashboards are polished, but PMs are dependent on engineers to add tracking for anything not already instrumented. Once data is in either platform, Heap's Sense AI and Amplitude's AI insights features are both accessible to non-technical users.
Does Amplitude offer a free plan?
Yes. Amplitude's Starter plan is permanently free and includes 10,000 monthly tracked users, up to 2 million events per month, session replay, unlimited feature flags, and web experimentation. Startups with under $10 million in funding and fewer than 20 employees also qualify for one free year of the Growth plan.
Can I analyze historical data retroactively in Amplitude?
Only for events that were already instrumented. If your engineering team did not add tracking for a specific interaction before it happened, that data does not exist in Amplitude and cannot be recovered. This is the fundamental limitation of manual instrumentation versus Heap's autocapture approach, which records all interactions and lets you define what to analyze after the fact.