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dbt vs PostHog
A detailed comparison to help you choose between dbt and PostHog.
Last reviewed:
| Feature | dbt | PostHog |
|---|---|---|
| Pricing Model | Open Source | Freemium |
| Free Tier | Yes | Yes |
| Monthly Cost (Solo) | $0 | $0 |
| Target Audience | developers | solopreneurs, startups, developers |
| Verified | No | Yes |
| Solo-Friendly | Yes | Yes |
| Open Source | Yes | Yes |
| Editorial Rating | 4.6/5 | 4.4/5 |
| Categories | Developer Tools, Analytics | Analytics, Developer Tools |
| Key Features | SQL-based transformations, Data testing framework, Auto-generated documentation, Dependency graph (DAG), Incremental models | Product analytics, Session replay, Feature flags, A/B testing, Surveys |
| Free Tier Quality | excellent | excellent |
Pricing Breakdown
dbt
dbt Core: free (open-source). dbt Cloud Developer: free (1 user). Team: $100/month (8+ seats). Enterprise: from $500/month.
PostHog
Free: 1M events/month, 5K recordings. Usage-based: $0.000045/event beyond free. Self-hosted: free (open source). No per-seat pricing.
Integration Overlap
Shared Integrations (1)
GitHub
Only in dbt (7)
SnowflakeBigQueryRedshiftDatabricksPostgreSQLFivetranAirbyte
Only in PostHog (9)
Next.jsReactPythonRubyGoSegmentSlackZapierSentry
Use Case Fit
dbt
- * Data warehouse transformations
- * Analytics engineering workflows
- * Data quality testing
- * Data documentation
- * ELT pipeline building
PostHog
- * Product usage analytics
- * Session recording and replay
- * Feature flags and rollouts
- * A/B testing and experimentation
- * User surveys and feedback
dbt
Pros
- + Revolutionized analytics engineering
- + Version control for data transformations
- + Built-in testing catches data issues
- + Massive community and package ecosystem
Cons
- - SQL-only (no Python in Core)
- - Learning curve for beginners
- - dbt Cloud pricing is steep
- - Requires a data warehouse
PostHog
Pros
- + All-in-one product analytics
- + Generous free tier (1M events/mo)
- + Open source and self-hostable
- + Session replay included
Cons
- - UI less polished than Amplitude
- - Learning curve
- - Self-hosting requires resources
Editorial Verdict
Both tools are evenly matched on price. dbt excels at data warehouse transformations, while PostHog is stronger for product usage analytics.
Sarah Chen
Editor-in-Chief