How much does Defog.ai cost?

Defog's cloud hosted Enterprise plan is $5,000 per month with SSO, and the self hosted Enterprise plan runs on an annual commitment with no published price. Both are sold by contact, and no free plan is listed.

What are the best alternatives to Defog.ai?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Defog.ai among data analyst agents are BlazeSQL, Querio, AskYourDatabase, Brewit. Each is graded on the same public evidence, and no vendor pays for placement.

Does Defog.ai support MCP and tool calling?

Full under the Agentic Index verification standard. Defog.ai publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: A documented API (POST api.defog.ai/generate_query_chat with an API key) returns SQL for a natural language question against a named database type, carrying previous conversation context. Defog, docs.defog.ai API Access page, 2026-09-28. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Defog.ai have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Defog.ai publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: Defog documents admin and general user roles and SSO for enterprise customers, and announced SOC 2 Type II compliance on 6 October 2023. No auditor is named and no later attestation date is published. Defog, docs.defog.ai Managing Users pag. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Defog.ai be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Defog.ai publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: A self hosted Enterprise plan runs on the customer's own infrastructure, and the docs describe an on premise deployment of three Docker images, including a vLLM model service, with users, metadata and golden queries kept in the customer's P. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Defog.ai

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Data analyst agentindependentVerified 2026-09-28

Entry priceEnterprise (cloud hosted) $5,000 per month; self hosted on annual commitmentFull pricing detail

Defog.ai is an enterprise text to SQL analyst built on its own SQLCoder models: teams align it to their schema with instructions and golden queries, ask questions in the app, Slack or an API, and can run it on their own infrastructure.

Defog.ai turns plain language questions into SQL for BigQuery, Databricks, MySQL, Postgres, Redshift, Snowflake, SQLite and SQL Server, and returns the SQL alongside tables and charts. It is built on SQLCoder, the family of text to SQL models Defog open sourced from 2023, and Defog also published SQLEval, an open source framework for evaluating generated SQL.

Admins align Defog to their data with written instructions on business rules and golden queries, pairs of questions and verified SQL. Users rate answers, a feedback page collects the results, and an Improve using Feedback feature proposes new instructions from negative feedback. Questions can be asked in the Defog app, in Slack or through an API that carries conversation context. Admin and general user roles separate who can align the model from who can only query, and SSO is available to enterprise customers.

Defog is sold as a cloud hosted Enterprise plan at $5,000 a month or a self hosted Enterprise plan on an annual commitment, deployed as three Docker images with a vLLM model service inside the customer's infrastructure. Defog announced SOC 2 Type II compliance in October 2023. The site footer reads 2024 and the most recent blog post is dated 30 January 2024.

Vendor details

Canonical URL

https://defog.ai

Company status

independent

Use cases & customers

Integrations

Defog connects to BigQuery, Databricks, MySQL, Postgres, Redshift, Snowflake, SQLite and SQL Server, accepts CSV uploads, integrates with Slack and offers a query API (generate_query_chat).

In practice

A regulated enterprise runs Defog's Docker images on its own servers, aligns it with instructions and golden queries for its schema, and lets analysts ask questions while data stays inside its network.

A software team calls Defog's query API from its own product to turn a customer's question into SQL, passing previous context so follow up questions work.

A data lead reviews the feedback page each week, turns good answers into golden queries and uses Improve using Feedback to draft instructions that fix the answers users marked wrong.

Agentic Index coverage score

7.5 / 14 capabilities · 54%

Integrations & Tool Calling	Partial
Defog generates SQL for BigQuery, Databricks, MySQL, Postgres, Redshift, Snowflake, SQLite and SQL Server, accepts CSV uploads and has a Slack integration. The connectors are databases and a chat surface, and no action in other systems or custom tool is documented. SourceDefog, docs.defog.ai API Access, Setting Up Your Database and Slack Integration pages and homepageread 2026-09-28
Workflow Orchestration	Partial
Defog Agents were launched in October 2023 to handle multi step workflows in SQL, Python and R with a person in the loop, and the current docs cover question to SQL querying. No branching, conditions, multiple agents or flow the buyer configures is documented. SourceDefog, blog post of 5 October 2023 and docs.defog.ai Querying Your Data; defog.ai/blogread 2026-09-28
Knowledge Grounding & RAG	Partial
Admins align Defog with schema metadata, written instructions on business rules and golden queries (question and SQL pairs), stored in the backend, which builds the prompts sent to the model. No retrieval over them or scale past the prompt is described. SourceDefog, docs.defog.ai Aligning Defog To Your Usecase and On Premise Architecture pagesread 2026-09-28
Human Oversight & Guardrails	Partial
Only admins may align the model and manage the database while general users can only query, admins set the business rule instructions the agent follows, and golden queries are refined by a person before saving; the 2023 agents launch describes a person in the loop. No approval step before a query runs is documented. SourceDefog, docs.defog.ai Managing Users and Aligning pages and blog post of 5 October 2023read 2026-09-28
Security, Identity & Governance	Full
Defog documents admin and general user roles and SSO for enterprise customers, and announced SOC 2 Type II compliance on 6 October 2023. No auditor is named and no later attestation date is published. SourceDefog, docs.defog.ai Managing Users page, Pricing page and blog post of 6 October 2023; defog.ai/blog/soc-2-type-iiread 2026-09-28
Observability & Auditability	Partial
Users see the SQL behind each answer alongside tables and charts, and a feedback page lists the queries users marked right or wrong with their comments. No audit log, per query history for admins or trace export is documented. SourceDefog, homepage and docs.defog.ai Aligning pageread 2026-09-28
Memory & State Persistence	Partial
The query API carries previous context through a conversation, and feedback turns into golden queries and instructions, which ground later answers. No memory the agent keeps across sessions with a stated scope and lifetime is described. SourceDefog, docs.defog.ai API Access and Aligning pagesread 2026-09-28
Deployment & Data Residency	Full
A self hosted Enterprise plan runs on the customer's own infrastructure, and the docs describe an on premise deployment of three Docker images, including a vLLM model service, with users, metadata and golden queries kept in the customer's Postgres. SourceDefog, Pricing page and docs.defog.ai On Premise Architecture and Docker Deployment pagesread 2026-09-28
Prebuilt Agents, Templates & Packs	Not documented
No prebuilt agents, templates or packs are offered; the customer aligns Defog to its own schema with instructions and golden queries. SourceDefog, docs.defog.ai and homepageread 2026-09-28
Triggers & Channel Coverage	Partial
The buyer's own users ask questions in the Defog app, in Slack or through the API. Those all start with a person, no schedules, alerts, events or channel for the buyer's customers is documented, and no embedded widget appears on the vendor's pages. SourceDefog, docs.defog.ai Slack Integration and API Access pagesread 2026-09-28
Model Flexibility & Routing	Not documented
Defog runs its own SQLCoder models (a vLLM service in the on premise build), and no third party model or customer selection of a provider is documented. SourceDefog, homepage and docs.defog.ai On Premise Architecture page; defog.airead 2026-09-28
APIs, SDKs & MCP Extensibility	Full
A documented API (POST api.defog.ai/generate_query_chat with an API key) returns SQL for a natural language question against a named database type, carrying previous conversation context. SourceDefog, docs.defog.ai API Access pageread 2026-09-28
Testing, Debugging & Optimization	Full
In the product, users rate each answer and a feedback page collects the results, and Improve using Feedback proposes new instructions from negative feedback while good answers become golden queries, an improvement loop on the deployed analyst. SQLEval, Defog's open source framework, benchmarks Defog's own models rather than the customer's deployment. SourceDefog, docs.defog.ai Aligning Defog To Your Usecase pageread 2026-09-28
Browser & Computer Use	Not documented
No browser, desktop or computer control is described; Defog works through database connections and SQL. SourceDefog, homepage and docs.defog.ai; defog.airead 2026-09-28

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Enterprise (cloud hosted) $5,000 per month; self hosted on annual commitment

per month (cloud hosted); annual commitment (self hosted)

What is public

Defog publishes the cloud hosted Enterprise price; the self hosted plan's price is not published.

Variable cost rationale

A flat monthly fee for the cloud plan and an annual commitment for self hosting; no usage metering is published.

Sales call required

Yes, required for paid access

Free / trial

Not published

Lowest paid plan

Enterprise, cloud hosted ($5,000 per month)

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Defog.ai

The closest documented capability profiles to Defog.ai among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

BlazeSQL9.0 / 14Fuller documented coverage on Integrations & Tool Calling and Knowledge Grounding & RAG
Querio9.0 / 14Adds documented Prebuilt Agents, Templates & Packs
AskYourDatabase7.5 / 14Adds documented Model Flexibility & Routing
Brewit6.5 / 14Fuller documented coverage on Knowledge Grounding & RAG and Triggers & Channel Coverage
Powerdrill8.0 / 14Adds documented Prebuilt Agents, Templates & Packs
Actian AI Analyst9.5 / 14Adds documented Prebuilt Agents, Templates & Packs and Model Flexibility & Routing

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Defog.ai with other vendors →Compare all data analyst agents →See where Defog.ai ranks →

Data confidence: high