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
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.
