Defog

Ask your database questions in plain language and get answers fast

Intermediate
Screenshot of Defog, Ask your database questions in plain language and get answers fast

What is Defog?

Defog is an AI data analyst that turns natural language questions into queries against your database, connectors or CSV files. It runs on SQLCoder, the company's open text-to-SQL model, and targets enterprise data teams that want answers without waiting on an analyst queue.

Defog is an AI data analyst built for enterprise teams that need answers from their own data without waiting on a specialist. The core idea is straightforward: pose a question in natural language, and Defog translates it into a query against your structured data and returns the result. The company's positioning is speed, framed around removing the queue that forms when analysts are the only people who can reach a warehouse. The product leans on SQLCoder, a text-to-SQL model Defog developed and released in 2023. It is the engine behind query generation, and the company reports more than 300,000 downloads of the open models. SQLEval, an open-source evaluation framework, exists to measure how accurate those models are on query tasks. Beyond querying, Defog advertises drill-down into specifics without stacking filters in a dashboard, exploration of open-ended hypotheses, and follow-up questions in the same session so users can iterate instead of restarting. In practice, Defog connects to structured databases including Postgres and Snowflake, to other tools through connectors, and directly to CSV files for teams without a warehouse in place. The company states that customer data is never shared with anyone, including its AI model, which addresses a common objection from regulated industries. It also claims the system adapts to individual feedback and preferences over time. Defog fits between a BI dashboard and a human analyst. It is aimed at data teams in larger organizations, evidenced by customers such as Toyota, Alliance Bernstein, Macmillan and Genmab, rather than at casual users. The model lineage has credibility in the ML community, with endorsements from Hugging Face, AWS and JLL cited on the site. Pricing is not published, and the commercial path runs through a contact form, so expect a sales conversation before you see a number.

How do you use Defog?

  1. 1Review the product capabilities
    Read through the feature breakdown to confirm which data sources and workflows Defog supports before you invest time in onboarding.
    Defog — Review the product capabilities
  2. 2Check the evaluation methodology
    Read the SQLEval write-up to see how the team measures text-to-SQL accuracy, which is useful context for judging the accuracy claims.
    Defog — Check the evaluation methodology
  3. 3Prepare your data sources
    Decide whether you will connect a structured database such as Postgres or Snowflake, wire up a connector, or export a CSV, and gather the access credentials your team will need.
  4. 4Contact the team to scope access
    Pricing and onboarding are handled through the contact form, so describe your data stack, expected user count and any compliance requirements up front.
    Defog — Contact the team to scope access
  5. 5Ask your first questions
    Once connected, start with one specific question, then use follow-ups and drill-down to move from a headline number to the detail underneath it.

Pros and cons

Pros

  • Built on SQLCoder, a text-to-SQL model with more than 300,000 downloads and independent praise from Hugging Face and AWS staffAI
  • States plainly that customer data is not shared with any third party, including the AI model itselfAI
  • Covers databases such as Postgres and Snowflake plus CSV uploads, so teams without a warehouse can startAI
  • Supports follow-up questions and drill-down within a session, which matches how real analysis actually unfoldsAI
  • Open-source SQLEval framework lets technically minded buyers inspect how model accuracy is measuredAI

Cons

  • No published pricing anywhere on the site, so budgeting requires a sales call and a custom quoteAI
  • Product depth is described in marketing language; no public demo, docs or sandbox is linked to verify accuracy claimsAI
  • Enterprise focus and contact-first onboarding make it a poor fit for individuals or small teams wanting self-serve signupAI
  • The site makes strong accuracy and privacy claims without showing the underlying benchmarks or compliance certificationsAI

How much does Defog cost?

Support

Support runs through the contact form on the site. No help centre, documentation portal or public support tier is linked from the homepage.

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Integrations

Defog connects to databases such as Postgres and Snowflake, to other platforms through connectors, and accepts CSV uploads. The site does not list named connector partners.

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Features

Defog converts natural language questions into queries against structured databases (Postgres, Snowflake), data from other tools via connectors, and CSV files. It supports drill-down into specifics, exploration of broad hypotheses, and follow-up questions in the same session. Underneath sits SQLCoder, Defog's text-to-SQL model, with SQLEval as an open framework for measuring query accuracy.

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Frequently asked questions about Defog

  • How do you use Defog?
    The walkthrough on this page covers 5 steps: 1. Review the product capabilities 2. Check the evaluation methodology 3. Prepare your data sources 4. Contact the team to scope access 5. Ask your first questions.
  • What platforms does Defog support?
    Defog is available on Web App.
  • What does Defog integrate with?
    Defog connects to databases such as Postgres and Snowflake, to other platforms through connectors, and accepts CSV uploads. The site does not list named connector partners.
  • What are the limitations of Defog?
    No published pricing anywhere on the site, so budgeting requires a sales call and a custom quote. Product depth is described in marketing language; no public demo, docs or sandbox is linked to verify accuracy claims. Enterprise focus and contact-first onboarding make it a poor fit for individuals or small teams wanting self-serve signup.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Paid