For Data Teams
Build pipelines that just work
End-to-end data platform with ingestion, transformation, quality checks, and lineage in one workflow.
From raw data to clean models
Any source in. Any model out.
Bruin lands sources in your warehouse, transforms them with SQL or Python, runs the quality checks, and tracks lineage to every downstream consumer.
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CORE DATA PLATFORM
One platform, everything you need
Stop stitching together Airflow, dbt, Fivetran, and Great Expectations. Bruin handles ingestion, transformation, quality, and lineage in a single tool.
Data Ingestion
30+ open-source connectors via ingestr. Pull from Postgres, Stripe, Salesforce, GA4, S3 into Snowflake, BigQuery, Databricks, Postgres in one config file.
SQL & Python
Mix SQL and Python assets in the same DAG with automatic dependency resolution. Materializations, incremental models, asset-level config, all version-controlled in Git.
Data Quality
Schema, freshness, row-count, uniqueness, and custom SQL checks defined alongside the asset. Bad data is blocked before it reaches downstream tables or dashboards.
Data Lineage
Column-level lineage parsed from your SQL and Python. Trace upstream sources, see downstream impact before a change ships, debug bad numbers in minutes instead of hours.
Bruin Cloud Managed
Managed scheduling, alerting, RBAC, audit logs, and a UI on top of the open-source CLI. Skip the Airflow + Kubernetes detour.
Open-source CLI
MIT-licensed, single binary, no Java. brew install it locally, run pipelines from your terminal or your CI.
Works with your existing stack
Snowflake, BigQuery, Postgres, Databricks, S3, and 30+ more sources and destinations.
+ 30+ databases and 200+ apps supported
Why data teams choose Bruin
Git-native, code-first
Pipelines live in your repo. Branch, review, merge, deploy through the CI you already run.
No Airflow, no Kubernetes
A single binary you install with brew. Run locally, run in CI, run in Bruin Cloud, same pipeline.
Open-source core
MIT-licensed CLI on GitHub. Self-host the runtime or let Bruin Cloud schedule, alert, and audit it for you.
Quality is part of the pipeline
Schema, freshness, row-count, uniqueness, and custom SQL checks defined next to each asset. Failing checks block downstream runs.
Column-level lineage
Parsed from your SQL and Python. Know exactly which downstream models, dashboards, or reports an asset feeds before you change it.
Cost-aware by default
Per-run cost tracking on Snowflake, BigQuery, and Databricks. Spot the asset that doubled your warehouse bill in seconds.
OPEN SOURCE
Open source ELT/ETL tool
Bruin is a command-line tool that lets you build SQL & Python pipelines with built-in quality checks, column-level lineage, and end-to-end observability.
curl -LsSf https://getbruin.com/install/cli | shSECURITY & COMPLIANCE
Enterprise-Grade Security
SOC2 Type 2 certified with comprehensive security controls and audit capabilities.
Role-Based Access
Granular permissions, scoped per channel and team
Audit Logs
Complete activity tracking
Single Sign-On
SAML 2.0 & OAuth
Encryption
AES-256 at rest & transit
Private Links
VPC peering support
Data Residency
GDPR compliant
Access Controls
IP whitelisting
Two-Factor Auth
Additional security layer
99.9%
Uptime SLA
24/7
Monitoring
SOC2
Type 2 Certified
Data pipelines shouldn't break in production
One pipeline.
Three tools to maintain it.
One data issue.
Hours of debugging across systems.
One schema change.
No way to know what breaks downstream.