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Databricks

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Unified data lakehouse platform for data engineering, ML, and generative AI on Spark

Big Data Software Data Exchange Platforms Data Management software
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  • Deployment Cloud Based
  • Starting price Free
  • Free trial Available
  • Best for Startups, SMEs, Agencies

What is Databricks?

Databricks is a cloud-based data and AI platform built around the lakehouse architecture, combining data engineering, data warehousing, machine learning, and generative AI in one workspace. Core components include Unity Catalog for unified governance, Delta Lake for open table storage, MLflow for the ML lifecycle, and Mosaic AI tooling for building and deploying generative AI applications, all running on AWS, Azure, or Google Cloud.

Billing follows a pay-as-you-go model measured in Databricks Units (DBUs) consumed per second, with no upfront cost or fixed contract required, alongside separate cloud infrastructure charges from AWS, Azure, or GCP. Premium is now the baseline tier for new workspaces, since the older Standard tier has been retired on AWS and GCP and restricted on Azure. A no-cost Free Edition is available for individual learning, and committed-use discounts are available for larger organizations.

Key Features of Databricks

Databricks lists 8 documented features, including Unity Catalog for unified data and AI governance, Delta Lake open-format storage with ACID transactions and MLflow for machine learning experiment tracking and model lifecycle. The list below covers what the product does rather than how it is marketed.

  • Unity Catalog for unified data and AI governance
  • Delta Lake open-format storage with ACID transactions
  • MLflow for machine learning experiment tracking and model lifecycle
  • Mosaic AI for building and governing generative AI and agent applications
  • Databricks SQL warehouses for BI and analytics
  • Workflows for orchestrating data and ML pipelines
  • Collaborative notebooks supporting Python, SQL, Scala, and R
  • Photon query engine and multi-cloud availability (AWS, Azure, GCP)

Databricks Pricing

Databricks lists 3 plans. One is free; the rest are quoted on request.

Free Edition

Free

Limited compute

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For individual learning and exploration, not for production use

Premium

Custom

Pay-as-you-go, billed per DBU-hour

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Baseline tier for new deployments; includes Unity Catalog, serverless compute, SQL warehouses, RBAC, and audit logging

Enterprise / Committed Use

Custom

Contract-based

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Prepaid Databricks Commit Units offering discounts based on committed usage across clouds

Databricks Specifications

Databricks is available on web app. It offers an API, has a free trial and has a free plan.

Deployment
  • Cloud Based
Billing cycle
Monthly
Desktop
  • Web App
Languages
  • English
Built for
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Support
  • Email
  • Phone
  • Tickets
  • Training
Integrations
AWS, Microsoft Azure, Google Cloud, Apache Spark, Delta Lake, MLflow, Power BI, Tableau, Snowflake, Kafka, dbt, Fivetran
Public API
Yes
Free trial
Yes
Free plan
Yes
Runs in browser
Yes
Customisable
Yes
Website
databricks.com

Databricks Videos

Databricks Screenshots

Databricks screenshot 1

Databricks Comparisons

Databricks
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Databricks FAQs

Databricks charges per Databricks Unit (DBU) consumed, billed per second with no upfront cost, plus separate cloud provider charges for underlying compute, storage, and networking.

Yes, Databricks offers a Free Edition intended for individual learning, alongside a free trial for evaluating the full platform.

Unity Catalog is Databricks' unified governance layer that manages access control, auditing, lineage, and discovery for data and AI assets across the workspace.

The Standard tier reached end of life on AWS and GCP in October 2025, and new Standard workspace creation was blocked on Azure starting April 2026, making Premium the baseline tier.

Databricks is available on AWS, Microsoft Azure, and Google Cloud.