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Head to head · 2026

Defog vs Metabase

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Defog

Fine-tuned language models translate natural-language questions into SQL for enterprise data teams

3.9Not listed

Visit Defog (opens Defog in a new tab)

Metabase

Metabase AI answers natural-language questions on every tier - including the free, self-hosted open-source edition -…

3.8Free

Visit Metabase (opens Metabase in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Defog does not list a price

  • Free plan

    Metabase

    Only Metabase has one

  • Higher rating

    Defog

    3.9 against 3.8

  • Same job?

    Yes

    Both are Data and Analytics tools

Side by side

Compared onDefogMetabase
Our rating3.9Better3.8
Starts atNot listedFree
Free planNoYesBetter
CategoryData and AnalyticsData and Analytics
PlansSee pricingFree
Key features
  • SQLCoder open-source model family fine-tuned specifically for text-to-SQL
  • Multiple model sizes (7B to 70B parameters) for different latency and accuracy needs
  • sql-eval benchmark framework for testing SQL-generation accuracy against schemas
  • On-premises or private-cloud deployment options for schema privacy
  • Metadata-only fine-tuning approach designed to avoid exposing underlying row data
  • Metabase AI - natural-language querying on every tier, including free
  • AI-guided exploration with drill-through root-cause analysis
  • MCP server integration for broader AI workflows
  • Semantic layer (Data Studio) grounding both human and AI queries
  • 50+ database connectors with no-code builder plus full SQL editor
Pros
  • Open-source SQLCoder models can be self-hosted, avoiding vendor lock-in
  • Benchmarked accuracy claims are backed by a public sql-eval framework rather than marketing copy alone
  • Metadata-only fine-tuning limits how much sensitive data the model sees during setup
  • AI querying available even on the free, self-hosted open-source tier
  • Inspectable, verifiable queries address the black-box trust problem in AI analytics
  • Broad database connector support avoids vendor lock-in
Cons
  • No published pricing; every enterprise deployment requires a sales conversation
  • Small team based primarily in Singapore, which may affect support hours for other regions
  • Self-hosting the open-source models requires in-house ML infrastructure expertise
  • Pro and Enterprise tier pricing isn't shown on the landing page
  • Self-hosted open source requires your own infrastructure and maintenance
  • Full semantic-layer value requires upfront metric curation work in Data Studio
CompanyDefog, founded 2023Metabase

Prices come from each vendor's pricing page, last checked 20260824. Check the vendor before you buy.

FAQ

Questions people ask

Is Defog better than Metabase?

In our reviews Defog scores 3.9 and Metabase scores 3.8. The better pick depends on the job. Defog: Fine-tuned language models translate natural-language questions into SQL for enterprise data teams. Metabase: Metabase AI answers natural-language questions on every tier - including the free, self-hosted open-source edition - with inspectable, verifiable queries.

Which is cheaper, Defog or Metabase?

Defog: see pricing. Metabase: free.

Do Defog and Metabase have free plans?

Only Metabase has a free plan.

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