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Defog

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Privacy-first AI data analyst for accurate natural language enterprise data analysis

Site Internet :https://defog.ai/
Ajouté :13 juil. 2026
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7.5K
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AI data analysttext-to-SQLprivacy-first AIenterprise data analysisSQLCoderself-hosted AI

Informations sur l’outil

Qu'est-ce que Defog ?

Defog is a privacy-first AI data analyst that enables trusted, accurate enterprise data analysis by converting natural language questions into SQL queries and insights. It works across databases, SaaS tools, CSVs, and Excel files while keeping data private and on-premises through self-hostable deployment. Powered by fine-tuned LLMs including the open-source SQLCoder model, it delivers deterministic results with security filters against malicious queries.

Fonctionnalités principales

  • Database querying

    Query structured databases and data warehouses including Snowflake, Postgres, SQL Server, MySQL, and more.

  • SaaS tool connectors

    Connect with favorite SaaS tools to ask questions across multiple sources.

  • CSV and Excel uploads

    Import and analyze data from CSV and Excel files for comprehensive analysis.

  • Autovisualization and save

    Automatically visualize data and save results for sharing and reference.

  • Desktop app

    Run Defog on desktop without extensive setup for privacy-first analysis.

  • Native Slack bot

    Ask questions and get answers directly in Slack without leaving the workflow.

  • Cloud marketplace deployment

    Deploy via AWS and GCP Marketplace for easy setup with existing infrastructure.

  • Docker deployment

    Use Docker for flexible, portable, and secure deployment.

  • Privacy-first architecture

    Underlying data never leaves the environment; SQL queries execute locally. Self-hostable 100% in the user's environment.

  • Deterministic security filters

    Every generated query is automatically tested and filtered for malicious keywords to guard against prompt injections.

  • SQLCoder-powered accuracy

    Powered by SQLCoder, Defog's open-source industry-leading large language model for text-to-SQL.

  • Deterministic results

    Consistently returns the same answer every time for a given question.

Cas d'utilisation

  • #1

    Rapid data insights

    Get answers from data immediately without waiting, skipping traditional bottlenecks.

  • #2

    Drill-down analysis

    Reach specifics without clicking through extensive filters.

  • #3

    Hypothesis exploration

    Explore broad hypotheses and follow curiosity with AI assistance.

  • #4

    Follow-on deep dives

    Ask successive questions for deeper insights without relying on others.

  • #5

    Enterprise data analysis across sources

    Analyze data from databases, SaaS tools, CSVs, and Excel in one privacy-preserving AI assistant.

Idéal pour :Enterprise data teamsData analysts seeking trusted AI assistanceBusiness users needing self-service data insightsOrganizations requiring privacy-first on-premises AI data tools

Plans tarifaires

A Pricing page is linked on the site but no pricing details, tiers, or costs are provided in the official source snapshots.

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Foire aux questions

What is Defog?
Defog is a privacy-first AI data analyst that converts natural language questions into SQL queries and insights across enterprise databases, SaaS tools, CSVs, and Excel files while keeping data private and on-premises.
How does Defog protect data privacy?
Underlying data never leaves the environment and SQL queries execute locally. Defog is self-hostable 100% in the user's environment and includes deterministic security filters against prompt injections.
What data sources can Defog query?
It supports structured databases and data warehouses including Snowflake, Postgres, SQL Server, and MySQL, plus SaaS tools, CSV files, and Excel files.
What powers Defog's accuracy?
Defog is powered by SQLCoder, its open-source industry-leading large language model for text-to-SQL, and is designed to return deterministic results for the same question.
How can Defog be deployed?
Defog can be run as a desktop app, deployed via Docker, installed from the AWS or GCP Marketplace, or used as a native Slack bot.
Is pricing information available?
A Pricing page is linked on the official site, but no pricing details, tiers, or costs are clearly published in the available source information.

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Informations sur l’outil

Modèle tarifaireUnknown
CatégorieAnalyse de données
Tags
AI data analysttext-to-SQLprivacy-first AIenterprise data analysisSQLCoderself-hosted AI
LangueAnglais
Dernière mise à jour16 juil. 2026