Databricks icon

Databricks

★★★★★ 4.5
VS
Retool icon

Retool

★★★★★ 4.5
Feature Databricks Retool
Pricing Free / from $0.07/mo Free / from $10/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.5 / 5 4.5 / 5
Best For data-engineering-teams, ml-teams, enterprises, large-scale-analytics engineering-teams, operations, data-teams, startups, enterprise
Founded 2013 2017
Data Lakehouse
Sql Analytics
Machine Learning
Real Time Streaming
Data Governance
Notebooks
Delta Lake
Drag Drop Ui
Database Connectors
Api Integration
Workflows
Self Hosting
Rbac
Ai

✓ 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

✓ Retool Pros

  • Fastest way to build internal tools
  • Connects to any database or API
  • Self-hostable for security
  • Pre-built components save hours

✗ Retool Cons

  • Only for internal tools — not customer-facing
  • Can get expensive for large teams
  • Learning curve for complex queries

The Verdict

Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Retool targets engineering teams and operations and leads with drag-drop-ui and database-connectors.

On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $10/mo for Retool. That $9.93/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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