Databricks

Founded by Ali Ghodsi in 2013

Store, process, and analyze massive datasets while building artificial intelligence models and workflows

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Databricks to process large amounts of data, run business analytics, and train machine learning models in a single environment. It combines data lakes and data warehouses so engineering teams can create streaming or batch pipelines without moving files between systems. You can write SQL queries, create interactive dashboards, and chat directly with your datasets using plain language questions. The system also lets you govern data catalogs, track compliance, control access permissions, and deploy custom artificial intelligence agents across cloud infrastructure reliably.

What Databricks does

Write and execute SQL queries on open lakehouse tablesSchedule automated data ingestion pipelines for streaming sourcesConfigure governance permissions and data access controlsTrain machine learning models with distributed compute clustersBuild natural language dashboards without writing custom codeDeploy production-ready artificial intelligence agentsInspect and clean messy operational databases before analysisUnifies data lakes and data warehouses using open table formatsRuns transactional Postgres databases alongside analytics storageBuilds batch and streaming ETL pipelines with LakeflowQueries enterprise data using natural language conversational promptsTracks access governance and compliance policies with Unity CatalogDeploys custom artificial intelligence agents grounded in private dataManages machine learning lifecycles and model serving