Databricks icon

Databricks

★★★★★ 4.5
VS
dbt icon

dbt

★★★★★ 4.6
Feature Databricks dbt
Pricing Free / from $0.07/mo Free / from $100/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.5 / 5 4.6 / 5
Best For data-engineering-teams, ml-teams, enterprises, large-scale-analytics data-teams, analytics-engineers, bi-teams, data-driven-companies
Founded 2013 2016
Data Lakehouse
Sql Analytics
Machine Learning
Real Time Streaming
Data Governance
Notebooks
Delta Lake
Sql Transformations
Data Testing
Documentation
Version Control
Scheduling
Lineage
Metrics Layer

✓ Databricks Pros

  • Unified platform for data engineering, science, and analytics
  • Delta Lake provides ACID transactions on data lakes
  • Excellent ML/AI capabilities with MLflow integration
  • Community Edition is free for learning

✗ Databricks Cons

  • Complex pricing with DBU credits
  • Requires data engineering expertise to configure
  • Vendor lock-in once deeply integrated

✓ 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

The Verdict

Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. dbt targets data teams and analytics engineers and leads with sql-transformations and data-testing.

On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $100/mo for dbt. That $99.93/mo difference adds up quickly for growing teams.

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

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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