Continue

★★★★ 4.3
VS
dbt icon

dbt

★★★★★ 4.6
Feature Continue dbt
Pricing Free only Free / from $100/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.3 / 5 4.6 / 5
Best For developers, open-source-advocates, privacy-focused-devs, self-hosters data-teams, analytics-engineers, bi-teams, data-driven-companies
Founded 2023 2016
Autocomplete
Chat
Inline Editing
Multi Model Support
Context Providers
Custom Commands
Sql Transformations
Data Testing
Documentation
Version Control
Scheduling
Lineage
Metrics Layer

✓ Continue Pros

  • Fully open-source (Apache 2.0)
  • Works with any LLM provider
  • VS Code and JetBrains support
  • Local model support

✗ Continue Cons

  • Requires self-configuration of LLM
  • Less polished than Copilot
  • Setup can be complex for beginners

✓ 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

Continue is built for developers and open source advocates, with a focus on autocomplete and chat. dbt targets data teams and analytics engineers and leads with sql-transformations and data-testing.

Continue 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 Continue takes a more focused approach — which can mean a simpler, faster onboarding experience.

Bottom line: dbt has a slight overall edge — but if fully open-source (apache 2.0) matters most to you, Continue may still be the right call.

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