Heap

★★★★ 4.3
VS

Hex

★★★★ 4.4
Feature Heap Hex
Pricing Free only Free / from $28/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.3 / 5 4.4 / 5
Best For product-teams, growth-teams, ux-researchers, data-analysts data-analysts, data-scientists, analytics-engineers, data-teams
Founded 2013 2019
Auto Capture
Retroactive Analytics
Session Replay
Journey Mapping
Funnels
Retention
Sql Cells
Python Cells
Charts
Data Apps
Scheduling
Version History

✓ Heap Pros

  • Auto-capture all events
  • No code required for tracking
  • Retroactive analysis possible
  • Session replay included

✗ Heap Cons

  • Expensive at scale
  • Can be data-overwhelming
  • Slower than event-based tools

✓ Hex Pros

  • SQL + Python in one tool
  • Beautiful data apps
  • Collaborative notebooks
  • Good sharing features

✗ Hex Cons

  • Expensive for teams
  • Learning curve for non-technical
  • Limited self-hosting

The Verdict

Heap is built for product teams and growth teams, with a focus on auto-capture and retroactive-analytics. Hex targets data analysts and data scientists and leads with sql-cells and python-cells.

Heap uses custom enterprise pricing, while Hex starts at $28/mo — a tangible advantage for teams with a fixed budget.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Both tools are a solid fit for data analysts — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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