Buying snapshot
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| Decision point | What Bruin states |
|---|---|
Open-source scope | The Bruin CLI is Apache 2.0-licensed. Bruin describes both the CLI and ingestr ingestion as open source; Bruin Cloud adds managed capabilities. |
Installation and deployment | The CLI has a one-line installer for macOS, Linux and Windows (WSL), with no dependencies. It can run locally, on EC2, in GitHub Actions, and wherever a binary runs, including on-premises and air-gapped environments. |
Languages | SQL, Python and R transformations; Python can run in isolated uv environments. |
Data platforms | Listed warehouses and databases include Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB, MySQL and SQL Server. |
Incremental adoption | Teams can keep Fivetran or Airbyte, run dbt beside Bruin assets, and use its AI layer with an upstream-populated warehouse. Bruin also reads dbt, Airflow, LookML, Dagster and Prefect work. |
Compliance and plan access | Bruin states it is SOC 2 Type 2 attested and ISO/IEC 27001:2022 certified. The comparison marks both included for Team and Scale, not Open Source. |
Our take
Choose Bruin when you want repository-based ingestion, transformations and checks, with a path to managed scheduling and AI features. If SSO, BYOC, private networking or custom retention are requirements, those are listed on Scale; confirm which commitment terms apply before committing.
Evaluate Bruin
Comparisons
Where it stands out
Pipeline-focused core. Bruin supports table and view materializations, incremental tables, Jinja templating, built-in quality checks and dry-run validation.
Layer-by-layer adoption. The CLI can run inside an Airflow DAG, and Bruin says Cloud is optional: leaving keeps the files and tables while stopping the schedule.
Managed operations on Team and Scale. Both list managed scheduling, full run history with rerun and retry, backfills, cross-pipeline dependencies, visual lineage and a searchable asset catalog. Team lists any cron schedule.
Product screenshot
Trade-offs to weigh
Open Source is self-managed. The comparison marks managed scheduling, historical backfills, visual lineage, the asset catalog, encrypted secrets at rest and the AI Data Analyst as not included.
Cloud cost follows activity. Compute is charged only while an asset runs, and AI requests use credits after the included allocation. Usage continues at the pay-as-you-go rate after free credits and tasks are exhausted; the paid plan has no hard cap.
Scale terms merit confirmation. The Scale card lists committed credits, volume discounts, custom contracts and annual commitment, while the FAQ says committed Scale plans are optional.
Pricing and plan conditions
Bruin Cloud charges credits for compute and AI tasks. On pay-as-you-go, one credit is $0.01. SQL assets are billed per second while they run at 250 credits ($2.50) per hour. Python and ingestion assets are billed per second on the selected size, from 250 credits ($2.50) per hour up to 16,000 credits ($160) per hour on 16 GB. The first 50 AI tasks are free; later tasks cost 100 to 300 credits ($1 to $3) by complexity.
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| Plan | Price | Billing terms | What the plan lists |
|---|---|---|---|
Open Source | $0, forever | Self-hosted; run the CLI locally or in your own CI. | SQL and Python transformation engine, connectors, data-quality checks and lineage, Dashboards as Code, and community support. |
Team | $0.01 per credit | Pay as you go, no seats and no minimum. Every Cloud account starts with $100 in credits and 50 AI tasks; no credit card is required. | Unlimited pipelines, assets and members; managed scheduling; AI Data Analyst, AI Dashboards, Data Apps, Scheduled Agents, Self-Healing Pipelines; Risk Report and usage tracking; Standard support; 30-day AI conversation and SQL query retention. |
Scale | Custom | Committed credits with volume discounts; the plan card also lists custom contracts and annual commitment. | SSO and SAML, role-based access control, audit logs, security review, dedicated support with SLA, BYO LLM credentials, BYOC with data residency and private networking, Cost Explorer, and custom data and log retention. |
Public signals
About these signals
Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.
656 GitHub commits 90d1.8k GitHub stars0 vulnerabilities across 1 package
See all signals from 4 sources
PyPI · bruin-sdk@0.5.2
Alternatives to Bruin
The reviewed substitutes for Bruin among the workflow orchestrators, and what would make each one the better answer.
Other approaches
A different approach to the same problem. Each substitutes only for the workload named beside it.
- Apache Airflow
- Apache Airflow and Bruin both schedule and run data pipelines defined as code. Airflow orchestrates arbitrary Python tasks across many systems, while Bruin runs its own ingestion, SQL and Python, and quality-check assets for warehouse pipelines from one open-source CLI.Applies to: Scheduling warehouse ELT pipelines built from SQL and Python steps.
- dbt (data build tool)
- dbt (data build tool) and Bruin both define SQL transformations as version-controlled, tested code that builds tables in the warehouse. dbt covers transformation only, while Bruin adds ingestion, Python assets and scheduling in the same project.Applies to: Building tested SQL models in a cloud warehouse.