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Databricks

Data and AI platform for building production agents on lakehouse data.

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About

Databricks is the data and AI company behind the lakehouse architecture, combining data engineering, warehousing, and machine learning on one platform. It acquired MosaicML for about $1.3B in 2023 and has since built Mosaic AI into a full agent stack: Model Serving, Vector Search, MLflow-based evaluation, and Unity Catalog governance for every model and agent interaction.

In June 2025 it launched Agent Bricks, a managed service that auto-generates domain-specific evaluations and synthetic data from a task description, then optimizes agent quality and cost without manual tuning. Databricks also acquired Neon in 2025, which became Lakebase, its Postgres-compatible operational database for agent workloads. The company reported over $1B in AI run-rate revenue in 2025 and crossed a $100B valuation later that year.

What it can do

  • Lakehouse platform unifying data engineering, SQL, and ML\nMosaic AI: model serving, vector search, agent evaluation\nAgent Bricks auto-optimizes agents on your data with synthetic evals\nUnity Catalog governance for data, models, and agents

Setup

Sign up at databricks.com; free trial available, or use the Community Edition

Prerequisites

Cloud account (AWS, Azure, or GCP); data in Delta Lake or Unity Catalog

Use cases

data-engineeringai-agentsmlopslakehouse

Works with

Trust score — 10/10

/10 trustVerified

Scored 10/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 102; Trending score 95/100 from researcher assessment.

Sources

Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.