Databricks

Founded by Ali Ghodsi in 2013

Unified platform for data engineering, analytics, and AI development at scale.

Pricing model

Free Trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Databricks to streamline your data workflows, from ingestion and processing to advanced analytics and AI model deployment. Built on an open lakehouse architecture, it integrates data lakes and warehouses, enabling efficient handling of structured and unstructured data. Databricks offers collaborative notebooks, automated ETL processes, and scalable machine learning capabilities, empowering teams to derive insights and build AI applications without compromising data governance or security.

What Databricks does

Ingest and process large volumes of structured and unstructured dataBuild and train machine learning models using scalable resourcesCollaborate on data analysis and visualization in shared notebooksAutomate data pipelines for continuous data integrationMonitor and manage data quality and governance policiesDeploy AI models into production environments seamlesslyOptimize data storage and compute resources for cost efficiencyIntegrate with existing data tools and platforms for enhanced workflowsUnified data lakehouse architecture combining data lakes and warehousesCollaborative notebooks supporting multiple programming languagesAutomated ETL processes for batch and streaming dataScalable machine learning and AI model deploymentComprehensive data governance and security controlsIntegration with major cloud providers for flexible deploymentOpen-source foundation with Apache Spark, Delta Lake, and MLflowReal-time data processing and analytics capabilities