dbt icon

dbt

★★★★★ 4.6
VS

Heap

★★★★ 4.3
Feature dbt Heap
Pricing Free / from $100/mo Free only
Free Plan ✓ Yes ✓ Yes
Rating 4.6 / 5 4.3 / 5
Best For data-teams, analytics-engineers, bi-teams, data-driven-companies product-teams, growth-teams, ux-researchers, data-analysts
Founded 2016 2013
Sql Transformations
Data Testing
Documentation
Version Control
Scheduling
Lineage
Metrics Layer
Auto Capture
Retroactive Analytics
Session Replay
Journey Mapping
Funnels
Retention

✓ dbt Pros

  • Industry standard for data transformation in warehouses
  • SQL-based (accessible to analysts, not just engineers)
  • Excellent testing and documentation framework
  • dbt Core is fully open-source and free

✗ dbt Cons

  • dbt Cloud pricing can be steep for large teams
  • Requires a data warehouse (does not store data)
  • Learning curve for software engineering practices

✓ 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

The Verdict

dbt is built for data teams and analytics engineers, with a focus on sql-transformations and data-testing. Heap targets product teams and growth teams and leads with auto-capture and retroactive-analytics.

Heap uses custom enterprise pricing, while dbt starts at $100/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.

Feature-wise, dbt offers broader built-in capabilities (7 features vs 6), while Heap takes a more focused approach — which can mean a simpler, faster onboarding experience.

Bottom line: dbt has a slight overall edge — but if auto-capture all events matters most to you, Heap may still be the right call.

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