✳ainav.

AI Data Analysis Tools

Databricks

Visit website
Introduction
Unified data and AI platform for engineering, analytics, machine learning and governed AI agents on open lakehouse architecture.
Added on
10/28/2026
Pricing
Freemium
Databricks screenshot
Databricks website preview

PRODUCT OVERVIEW

What is Databricks?

Databricks is a unified Data + AI platform that brings data engineering, analytics, machine learning and generative AI into one collaborative workspace built on Apache Spark and lakehouse architecture. Teams can ingest and transform batch or streaming data, run SQL analytics and business intelligence, train and serve models, and build, evaluate and govern AI agents. Unity Catalog provides consistent permissions, lineage and auditing across data and AI assets, while open formats such as Delta Lake and Apache Iceberg keep data portable. It serves both technical users and business users, including natural-language querying through Genie. Access options include a free trial with no credit card required, a free edition for learning, and pay-as-you-go usage-based pricing.

How to use Databricks

  1. 1

    Start a free trial

    Sign up for Databricks through the official trial page; no credit card is required, and you can invite collaborators during or after the trial.

  2. 2

    Ingest and prepare data

    Use automated workflows and built-in connectors to ingest data from a variety of sources and prepare it for analytics or AI workloads.

  3. 3

    Run analytics and build models

    Query data with SQL for BI reporting, or use interactive compute for data science and machine learning workloads.

  4. 4

    Build and govern AI agents

    Develop agents with Agent Bricks using any model or framework, then evaluate, deploy and govern them with Unity Catalog and Unity Gateway.

  5. 5

    Ask questions in natural language

    Use Genie to ask questions in natural language and get trusted, governed answers from your data.

Databricks Features

Unified workspace for data engineering, data science and machine learning on Apache Spark

Lakehouse architecture combining data lake flexibility with data warehouse reliability via Delta Lake

SQL analytics and business intelligence for reporting and visualization

Build, evaluate, deploy and govern AI agents with Agent Bricks

Unity Catalog for consistent permissions, lineage and auditing across data and AI assets

Unity Gateway to control access, spend and observability across agents, tools and models

Genie natural-language assistance for code, analytics and enterprise knowledge

Open formats including Delta Lake and Apache Iceberg for data portability

Serverless Postgres (Lakebase) for apps and AI agents

Available across AWS, Azure and Google Cloud

Databricks Use Cases

  • Big data analytics and data lake management

  • Building and orchestrating batch and streaming data pipelines

  • Running SQL queries for BI reporting and dashboards

  • Training, serving and deploying machine learning models

  • Building and governing production AI agents

  • Asking natural-language questions and getting governed answers from enterprise data

  • Developing real-time transactional applications with serverless Postgres

  • Consolidating separate data, analytics and AI tools into one platform

Databricks FAQs

It is a unified platform for data, analytics and AI that combines data engineering, data science and machine learning in one collaborative environment built on Apache Spark, letting teams clean and process data, train models and deploy analytics at scale.

It serves both business and technical users across data and AI teams. Business users get guided insights, automated workflows and natural-language agent creation, while technical users get help writing code, building apps and handling engineering operations.

You can start a free trial with no credit card required, which gives instant access to the platform, automated data workflows, app and agent building, and natural-language data querying.

Databricks uses a pay-as-you-go approach with no up-front costs, charging only for the products you use at per-second granularity. Committed use contracts offer discounts and benefits for higher usage commitments.

Lakehouse architecture combines the flexibility of a data lake with the reliability of a data warehouse. Delta Lake enforces data quality rules, supports ACID transactions and offers time travel to query data as it existed at a prior point.

Agent Bricks offers multi-harness development so teams can build agents with any model or framework, then evaluate, deploy and optimize them. Unity Catalog manages permissions, lineage and auditing, while Unity Gateway governs access, spend and observability.

With open formats like Delta Lake and Apache Iceberg, data is portable and can be queried from Databricks, Spark or Trino without moving it. Unity Catalog acts as an open governance layer across data and AI assets.

Databricks is available on AWS, Azure and Google Cloud. Pricing for Azure Databricks is set by Microsoft and provided for reference.

Databricks Official Information

Company
Databricks, Inc.
Website
https://databricks.com/product/platform
Documentation
https://www.databricks.com/databricks-documentation
Contact
https://www.databricks.com/company/contact

Databricks Pricing

Freemium

Databricks uses pay-as-you-go, usage-based pricing measured in DBUs (or CUs for Lakebase), billed per second with no up-front costs. Committed use contracts offer discounts for higher usage commitments. Azure Databricks pricing is set by Microsoft. A free trial is available with no credit card required; if configured with your own cloud account, your cloud provider still charges for resources used during the trial.

Free Trial

$0USD / trial period

Free access to the Databricks Data + AI Platform without a credit card, intended for evaluating the platform and building initial workflows.

  • No credit card required
  • Instant access to the Data + AI Platform
  • Ingest and prepare data with automated workflows
  • Build apps and agents
  • Invite colleagues or collaborators

Pay as you go

$0.07USD / per DBU

Usage-based billing with no up-front costs; you pay only for the products you use, billed at per-second granularity. The starting price shown is the lowest advertised starting rate across product categories.

  • No up-front costs
  • Billed per second
  • Data Engineering starting at $0.15 / DBU
  • Data Warehousing starting at $0.22 / DBU
  • Artificial Intelligence starting at $0.07 / DBU

Committed Use Contract

Commit to certain levels of usage in exchange for discounts and other benefits; larger commitments yield greater benefits, with options to flexibly use commitments across multiple clouds.

  • Discounts based on usage commitment
  • Greater benefits at larger commitments
  • Option to use commitments across multiple clouds

View official pricing ↗

COMMUNITY REVIEWS

Databricks User Reviews

Reader reviews

No reviews yet.

Share your experience with Databricks

Sign in to share your experience. Your display name, rating and review will be public after approval. One review per account per tool.

Your rating