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Omni Analytics

by Omni · San Francisco, USA · Founded 2022

BI platform that turns governed data into answers for people and AI

Reviewed by the the30top research team · Last reviewed 2026-10-27

Overview

Omni combines dashboards and self-serve exploration with an AI assistant that answers questions against a shared semantic model, so answers follow the same metric definitions as the reports. It connects to Snowflake, BigQuery, Databricks, dbt and Postgres, and offers an MCP server so Claude, ChatGPT and Cursor can query the same governed data. Plan prices are not listed publicly, and results depend on how well the semantic model has been built and maintained.

Our verdict

Omni is a strong fit when a data team wants AI answers that agree with the dashboards. The lack of public pricing and the modeling work it expects are the main costs.

Best for

Data teams that want self-serve BI and AI answers to share one governed model.

Avoid if

You want a self-serve tool with public pricing and no modeling step.

Pros

  • Answers follow shared metric definitions
  • MCP access for external AI agents
  • Wide warehouse and dbt support

Cons

  • No public price list
  • Needs a maintained semantic model
  • Compliance details are not shown on the homepage

Key capabilities

AI answers grounded in a governed semantic modelSelf-serve dashboards and explorationMCP server for Claude, ChatGPT and CursorPermission-enforced data access for AIdbt and git integrationCustom chatbot and embedded use

Frequently asked questions

Does Omni publish its pricing?

No plan prices were listed on omni.co when reviewed, so pricing is by quote.

Can other AI tools use Omni data?

Yes. Omni lists an MCP server and integrations with Claude, ChatGPT and Cursor.

Which warehouses does Omni support?

Its homepage lists Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, Trino, MySQL, MotherDuck and SQL Server.

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