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Deepnote vs dbt Labs

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Deepnote compared with dbt Labs
DetailDeepnotedbt Labs
What it doesCollaborative analytics & data science notebook The open standard for modern, AI-ready data transformation
StageNot given Established
FoundedNot given Not given
Based inNot given US
Pricing modelNot given freemium
PricingFree plan with limited editors and projects; Team plan at $39/editor/month (billed yearly); Enterprise plan with custom pricing. Developer plan is free with one developer seat and 3,000 successful models per month. Starter plan is $100 per user/month with five developer seats and 15,000 models per month. Enterprise and Enterprise+ plans offer custom pricing with higher limits.
Key features
  • Python and SQL code blocks
  • Interactive visualizations
  • Real-time team collaboration
  • Comment and review workflows
  • Scheduled notebook execution
  • Deploy notebooks as APIs
  • 100+ data integrations
  • AI code completion and generation
  • GPU support
  • Revision history and versioning
  • Browser-based IDE
  • SQL comprehension and local validation
  • Interactive lineage and DAG
  • Automatic refactoring of models and columns
  • Job scheduling and monitoring
  • Git version control and testing
  • dbt Semantic Layer
  • CI checks on Github and GitLab
  • dbt MCP server
  • dbt State orchestration
What makes it different
  • Combines Python and SQL as first-class citizens in the same notebook
  • Seamless cloud-based collaboration without environment setup complexity
  • Convert analyses to production-ready apps and dashboards instantly
  • Open source and fully Apache 2.0 licensed
  • AI-powered features for faster code completion and chart generation
  • Stateful intelligence that automatically builds only models that need updating, saving 30%+ on warehouse spend
  • Never stores customer data with deep ecosystem integrations and commitment to open standards
  • Automatic column-level refactoring across all downstream references
  • 100,000+ active community members and largest open data community
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)72 no change since last check82 no change since last check
Trust Flow (Majestic)2931
Citation Flow (Majestic)4956
Referring domains (Majestic)24588402

4 details filled in for both companies.

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