About This Site
Open-source data platform combining pipelines, quality checks, lineage, and AI analytics. Bruin is an open-source, end-to-end AI data platform for ingesting, transforming, testing, orchestrating, and analyzing business data. Its open-source CLI supports SQL and Python pipelines, connectors, data quality checks, and lineage, and can run locally, in CI, or in self-hosted environments. Bruin Cloud adds managed scheduling, governance, dashboards, data apps, scheduled agents, self-healing pipelines, and an AI data analyst that answers questions through messaging channels and a browser. The platform offers a free starting allowance and pay-as-you-go cloud usage, with enterprise options available.
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Key Features AI
Core Features
Open-source CLI for SQL and Python data pipelines
Data ingestion connectors for databases, warehouses, apps, APIs, files, and streams
Automated data quality checks and column-level lineage
Pipeline orchestration, scheduling, retries, and historical backfills in Bruin Cloud
AI data analyst available through messaging channels and the browser
AI dashboards, data apps, and scheduled agents
Self-healing pipelines that investigate issues and propose fixes through pull requests
Data catalog, governance, access controls, and audit logs
Git-native workflows and self-hosting options
Advantages
Open-source Apache 2.0 CLI is free forever and can be self-hosted.
Combines ingestion, transformation, orchestration, quality, lineage, and analytics in one platform.
Supports both SQL and Python assets.
Bruin Cloud starts with $100 in credits and 50 AI tasks, with no credit card required.
Cloud usage is pay-as-you-go, billed per second for compute, with no seats or minimum spend on the Team plan.
Pipelines and data can remain in the user's Git repository and warehouse, reducing lock-in.
缺点：Managed cloud compute and AI tasks consume credits after the free allowance.
缺点：The open-source plan does not include managed cloud scheduling, AI features, or team administration.
缺点：Some enterprise capabilities, including SSO, BYOC, private networking, and dedicated support, require the custom Scale plan.
缺点：AI task costs vary by complexity, from $1 to $3 per task.
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