Databricks

What is Databricks?

Databricks is a Data + AI Platform that brings data engineering, analytics, machine learning and AI agents into one place. The product line includes Lakebase, a serverless Postgres database for applications, Agent Bricks for building AI agents grounded in company data, AI/BI dashboards with Genie conversational analytics, Unity Catalog for governing data, models, dashboards and agents, and lakehouse-style data warehousing and ETL pipelines. It runs on AWS, Azure, GCP and SAP, with Azure Databricks sold as a first-party Microsoft service. Pricing follows compute use rather than storage volume, measured in Databricks Units, and is billed per second on a pay-as-you-go basis with no up-front costs. Customers can also sign committed use contracts for discounts, and a 14-day free trial is available. Databricks Community Edition is a free, limited platform for learning Spark. List prices vary by product, cloud and region, so use the Databricks pricing pages and calculator for exact figures.

Use cases

• Build AI agents on company data
• Run data warehousing and ETL pipelines
• Create dashboards with natural language
• Govern data, models and agents
• Run interactive data science workloads
• Host application databases

Who it's for

• Data engineers
• Data scientists
• Analytics teams
• Enterprises

Why use Databricks

• One platform covers pipelines, warehousing, dashboards, ML and agents, which cuts the number of separate tools to manage.
• Pay-as-you-go billing has no up-front costs, so small projects can start without a contract.
• Unity Catalog applies one governance layer across data, models, dashboards and agents.
• Committed use contracts can reduce cost for predictable, larger workloads across multiple clouds.
• It runs on the major clouds, so teams are not tied to a single provider.

Databricks features

• Lakebase serverless Postgres for applications
• Agent Bricks for building AI agents grounded in company data
• AI/BI dashboards and Genie conversational analytics
• Unity Catalog governance across data, models, dashboards and agents
• Lakehouse SQL and BI with open formats and APIs
• Interactive compute for data science and machine learning
• Pay-as-you-go billing at per-second granularity
• Committed use contracts with volume discounts
• Availability across AWS, Azure, GCP and SAP

Databricks integrations

• AWS
• Microsoft Azure
• SAP
• Spark

How to get started with Databricks

1. Start a 14-day free trial or sign up for pay-as-you-go on your preferred cloud.
2. Connect your data and choose compute for pipelines, SQL, interactive data science or AI workloads.
3. Build dashboards, pipelines or agents using the platform's products, with Unity Catalog governing access.
4. Usage is measured in Databricks Units and billed per second based on compute consumed.
5. Review the price list and calculator, and contact sales if you want committed use discounts.

Databricks limitations

• Pricing varies by product, cloud provider and region
• Your own cloud account still bills for compute instances and storage during a trial
• Community Edition has limited functionality and is meant for learning Spark
• Azure Databricks prices are set and billed by Microsoft

Databricks pricing

Databricks has no free plan, but it offers a free trial.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

Databricks alternatives

The main Databricks alternatives listed on Debuly are DataRobot, Vanna, AI for Database, Cognee, IBM watsonx.ai and Metorial. The table compares pricing and platforms; order is A–Z.

1. 

   AI for Database

   Ask your PostgreSQL, MySQL or Google Sheets data questions in plain English and get charts, dashboards and automated alerts.

   Developer platformsProductivityAutomation and agents
   FreemiumVisit AI for Database (official site)
2. 

   Cognee

   Open-source memory engine for AI agents that combines vector search, knowledge graphs and relational storage, with a hosted cloud.

   Developer platformsAutomation and agentsResearch and search
   FreemiumVisit Cognee (official site)
3. 

   DataRobot

   Enterprise AI platform to build, deploy, monitor and govern predictive and generative AI models and agents, with a 30-day free trial.

   Developer platformsAutomation and agents
   Contact salesVisit DataRobot (official site)
4. 

   IBM watsonx.ai

   IBM's AI development studio for building generative AI apps and agents with foundation models, prompt tools, and machine learning, billed by usage.

   Developer platformsCodingAutomation and agents
   FreemiumVisit IBM watsonx.ai (official site)
5. 

   Metorial

   Control plane for AI agents with 1,000+ managed MCP integrations, per-user permissions, SSO and audit logs behind one connection URL.

   Developer platformsAutomation and agents
   FreemiumVisit Metorial (official site)
6. 

   Vanna

   Open-source Python framework for building user-aware AI agents, such as SQL data analysts, with an optional managed cloud.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Vanna (official site)

Databricks FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: none collected yet, so a monogram is shown.
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.