Side-by-side comparison

ComparePostHogvsHeap

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2 of 4 tools selected

AI Product Analytics

PostHog

Open-source analytics for technical teams

SF Score
8.8/10
Pricing
Free · Paid
AI Product Analytics

Heap

Autocapture analytics for digital product teams

SF Score
8.6/10
Pricing
Free · Paid
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Compare features, strengths, trade-offs, and best-fit use cases.

Where each one leads

Read straight from the published figures below — not a ranking, and not a recommendation.

  • Highest SF Score

    PostHog8.8/10

    2 of 2 are scored

At a glance

The short version

The facts each tool publishes, lined up so you can scan down a column. Anything the catalog does not establish is marked as such rather than counted against the tool.

PostHog

SF Score
8.8 / 10
Starts at
$22/mo
Free plan
Available
Category
AI Analytics Software › AI Product Analytics

Heap

SF Score
8.6 / 10
Starts at
$22/mo
Free plan
Available
Category
AI Analytics Software › AI Product Analytics

Key differences

Where these tools actually diverge

The decision dimensions that separate this set, with each tool's own position stated plainly. No winner is declared — fit depends on your workflow.

Positioned for

PostHog

AI Product Analytics

Heap

AI Product Analytics

Pricing model

PostHog

Free · Paid

Heap

Free · Paid

SoftFinders Score

PostHog

8.8 / 10

Heap

8.6 / 10

Feature comparison

Capability matrix

Grouped by area. Every state carries a word as well as a colour, and anything the catalog has not established stays neutral rather than counting as a missing feature.

1 row differs 5 identical

Capability comparison across the selected tools. Each row is a capability; each column is a tool.
Capability PostHogHeap
Overview
SF Score8.8 / 10Value8.6 / 10Value
Pricing modelFreemiumValueFreemiumValue
Starts at$22/moValue$22/moValue
Free planYesYes
CategoryAI Analytics Software › AI Product AnalyticsValueAI Analytics Software › AI Product AnalyticsValue
Core features
Session ReplayReview sessions connected to product eventsYesYes

Scroll the matrix sideways to see every column.

Listed by one tool only

11 capabilities are published by a single tool in this set. That does not mean the others lack them — only that the catalog has not established an answer either way.

Use cases

What each tool is built for

The workflows each tool publishes for itself. Cards appear only for tools that list use cases.

PostHog

  • Analyze funnels across product events
  • Launch feature flags by cohort
  • Run experiments without extra tools
  • Review sessions behind product issues
  • Survey users during product journeys

+1 more on the PostHog profile

Heap

  • Find checkout funnel drop off
  • Review confusing product user journeys
  • Measure feature adoption after launch
  • Compare cohorts by signup source
  • Investigate rage click user issues

+3 more on the Heap profile

Pros & cons

Strengths and compromises

Each tool's published strengths and the compromises that come with them, as supplied — not scored or ranked against each other. Longer lists fold; nothing is left out.

PostHog

Pros

  • Open-source option supports technical buyer flexibility well
  • Bundles analytics, replay, flags, and experiments together
  • Usage pricing offers strong early-stage value clearly

Cons

  • Non-technical teams may find setup less polished
  • Self-hosting needs real operations ownership from engineers
  • Costs can grow across multiple product modules

Heap

Pros

  • Autocapture reduces engineering work for analytics questions
  • Retroactive definitions help teams answer new questions
  • Replay context connects numbers with real sessions

Cons

  • Autocapture still needs governance to stay trustworthy
  • Pricing can rise quickly with session volume
  • Strict schema-first teams may prefer other tools
  • Free tier capped at 10k monthly sessions

Pricing

What each one costs

Published pricing signals only. Where a tool has not established a price, that is what it says — never a zero and never "free".

Next step

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