Governed agentic analytics, inside your company.

Databrain is a governed agentic analytics platform: a semantic model, governance, and an agent with an MCP server on your data, so any model or agent your team uses answers from the same definitions. Teams use it inside the company, and on the Enterprise plan, embedded analytics puts the same layer inside your product for your customers. Databrain queries your warehouse live with read-only access instead of copying your data into a separate store.

Agentic analytics is analytics done by AI agents: an agent takes a question in plain language, works out which data and metrics answer it, runs the queries, explains the result and can carry the analysis further on its own, instead of a person building every query and dashboard by hand. Governed agentic analytics means those agents work from definitions your team owns, and the Databrain agent answers within the permissions of the person asking. In Databrain, that is a semantic model that defines your business terms, row and column security with roles and SSO, and an agent with an MCP server, with the model you choose.

Yes, and for one person exploring their own data, that can be enough. Databrain is for when the answers reach other people. It keeps one set of definitions for every agent, answers each person within their own row and column security, roles and SSO, runs health checks across the pipeline, and can put the same governed data in front of your customers. Your builders keep their own tools: the MCP server lets Claude Code, Cursor and your own agents query it.

Yes, for teams that want governed AI answers as well as dashboards. Databrain puts one semantic model and an agent on your warehouse, with the model you choose, row and column security on Business, and free viewers on every plan. For analytics inside your product, Enterprise adds embedding: Freightify replaced Metabase and went live in 1 week, and EpochOS and BerryBox replaced Power BI in 2 and 3 weeks.

Yes, on the Enterprise plan, quoted per instance. Your backend requests a guest token that scopes each session to one tenant, and dashboards render as web components styled with your brand, with unlimited tenants, end users and embeds. Every 14-day trial includes embedded analytics, so you can evaluate it before talking to us. SpotDraft took its customer-facing reporting live in 4 weeks.

Databrain connects to Snowflake, BigQuery, Redshift, Databricks, ClickHouse, PostgreSQL, MySQL, SQL Server, Microsoft Fabric, Athena, Trino, Firebolt, SingleStore, MongoDB and Elasticsearch, among others. It needs only read (SELECT) access and queries your database live instead of copying your data into a separate store. Query results can be cached for speed, either in Databrain’s managed Redis or in your own Redis or ElastiCache instance, with an expiry you set per workspace.

Databrain has four plans. Solo is $39 per month, Team is $199 per month and Business is $3,125 per month, each priced per builder seat plus usage: the plan includes builder seats and monthly credits for agent work, and work beyond the credits is metered. Enterprise, which adds embedded analytics, white-labeling, HIPAA and self-hosting, is quoted at a flat price per instance with unlimited tenants, end users and embeds, so the bill does not rise as your customer count grows. Viewers are free on every plan, paying annually takes 20% off Solo, Team and Business, and every plan starts with a 14-day free trial.