Bruin

Bruin is an AI data analyst agent built for data teams that need instant, verified answers to business questions directly inside Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email, and the browser. The key differentiator versus generic AI assistants is data integrity enforcement: Bruin reads live pipeline state, schema metadata, and data quality status before responding, refusing to answer if the underlying data is stale or broken. Every team member receives the same verified answer from the same trusted source, eliminating the divergent figures that result from different analysts querying at different times. Bruin is built by Bruin Data Limited, headquartered in the United Kingdom, and serves data engineering and analytics teams at mid-market and enterprise B2B technology and SaaS companies. The agent connects to all major data warehouses including Snowflake, BigQuery, Databricks, Redshift, Postgres, ClickHouse, DuckDB, and MySQL, plus 200+ APIs and SaaS tools through the open-source ingestr connector library. The ingestr repo independently holds 3,600+ GitHub stars as of Q2 2026. Native integration covers Slack and Teams for delivery, and data warehouse sources for querying. Notable gaps: Oracle Database and Microsoft SQL Server are not confirmed as natively supported destinations, making Bruin a weaker fit for enterprises running legacy relational stacks on those platforms. Teams already running Fivetran or Airbyte as managed ingestion layers would need to run parallel stacks or migrate ingestion to Bruin's pipeline to unlock the context layer that makes the analyst agent most accurate. No native Tableau, Looker, or Power BI connector is available; Bruin replaces rather than integrates with those tools. In Q2 2026, Bruin published an official MCP server connecting Cursor, Claude Code, and other MCP-compatible editors to the full Bruin CLI for natural-language pipeline queries and asset runs directly from the IDE. Pricing: the free tier includes 50 AI analyst questions per month plus a $100 pipeline compute credit with no payment method required to start. Paid usage is pay-as-you-go at approximately $10 per GB hour of compute. There is no dedicated pricing page at getbruin.com; all public pricing information appears on the homepage and in the Product Hunt launch documentation. Enterprise pricing requires contacting sales. A team running 500 analyst questions per month on a 50 GB monthly compute workload would pay approximately $500 per month before any enterprise negotiation. Bruin is not the right fit for teams that need a standalone BI layer without adopting a new pipeline stack. Hex ($24/user/month) and ThoughtSpot (custom pricing) let analysts query existing warehouses without migrating ingestion or transformation. Teams committed to dbt plus Fivetran as a separation-of-concerns architecture may find Bruin's unified platform requires running parallel stacks until a full migration is feasible. For teams that only need conversational query without pipeline management, a lighter-weight tool such as Equals (from $49/month) or Sigma Computing (custom pricing) may deliver faster time to value without the full data platform adoption requirement. As of Q2 2026, the bruin-data/bruin CLI repo holds approximately 1,600 GitHub stars with active daily commits. The combined star count across all Bruin Data GitHub repositories exceeds 5,800. Bruin added Dashboards-as-Code in Q2 2026, enabling dashboards to be version-controlled in YAML and Git alongside pipeline code. The Bruin Cloud MCP server is now available for connecting the managed platform directly to AI coding assistants. Bruin Data Cloud has 2 verified G2 reviews at 4.8/5 as of Q2 2026, reflecting early-stage adoption. SOC 2 Type II certification with AES-256 encryption, VPC peering, RBAC, audit logs, and SAML 2.0 SSO is confirmed. Customer data is never used to train AI models.