Build AI dashboards on our Snowflake data without SQL.
Build AI dashboards on our Snowflake data without SQL. Bruin connects to your live data and returns a governed answer in plain English, with the SQL and column-level lineage behind it, ready as a live dashboard or scheduled report.
Metrics & KPIs
Required Data
Data Sources
How Bruin answers this
Bruin AI Data Analyst
Build AI dashboards on our Snowflake data without SQL.
Bruin connects to your Snowflake, your data warehouse and runs the analysis automatically.
It tracks Any governed metric on top of your existing stack and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.
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Bruin for the Modern Data Stack
Use cases across every team in your the Modern Data Stack company, from churn & retention to revenue operations, product analytics to engineering. One AI that speaks your data.
About Bruin
What is Bruin?
Bruin is an open-source, AI-powered data platform. One project covers the whole path from source to answer: data ingestion (with ingestr), SQL and Python transformations, quality checks, column-level lineage, a data catalog and scheduling. On top of that data, an AI data analyst answers questions in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, and builds dashboards from a prompt.
Pipelines are plain SQL, Python and YAML files in your own Git repository, and the work runs inside your own warehouse: Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB and others. The Bruin CLI is open source under Apache 2.0 and runs on a laptop, in CI or on-prem. Bruin Cloud is optional and adds scheduling, the AI data analyst, governance, SSO and audit logs.
For your data stack that means one project and one CLI instead of a separate tool, config and bill for ingestion, transformation, orchestration, quality, cataloguing and BI.
- Replaces
- Separate tools for ingestion, transformation, orchestration, data quality, cataloguing and BI
- Open source
- Bruin CLI under Apache 2.0; ingestr source-available under the Functional Source License
- Your data
- Stays in your warehouse; pipelines stay in your Git repository
- Security
- ISO/IEC 27001:2022 certified and SOC 2 Type 2 attested
- Used by
- Data teams at Lessmore, StarBerry, NativeMinds, SCG, M8 Games and Fabrikatör
Why Bruin for your data stack
One project instead of six tools
Ingestion, SQL and Python transformations, checks, lineage and scheduling live in one repository and run from one CLI.
Adopt one layer at a time
Run dbt models next to Bruin assets, call Bruin from an existing Airflow DAG, or turn existing warehouse tables into assets with bruin import database.
No lock-in
Pipelines are plain files in your Git repository and the data stays in your warehouse. If you stop using Bruin Cloud, you keep both.
Answers on the same data
The AI data analyst and dashboards sit on the tables the pipeline builds, with the same lineage and checks.
How it works
01
Start a project
Run bruin init to create a project from a template, or bruin import database to map the tables you already have.
02
Move one pipeline
Move one ingestion and its models into Bruin, add checks, and compare the output with the old stack.
03
Schedule and expand
Schedule it in Bruin Cloud, add the AI data analyst, and move the next pipeline when you are ready.
Get this answer in seconds
Connect your data, ask the question, get the answer. No SQL needed.