Softwr
Databricks logo

Databricks

Unified analytics platform for data engineering and data science

As of 30 August 2026, Databricks is free to use. Databricks is a unified analytics platform that provides a collaborative environment for data engineers, data scientists, and machine learning engineers. Softwr lists it under Machine Learning. Databricks is made by Databricks Inc., launched in 2013, available on Web.

Overview

What Databricks does

Databricks is a unified analytics platform that provides a collaborative environment for data engineers, data scientists, and machine learning engineers. It combines data warehousing and AI, built on open source technologies like Apache Spark and Delta Lake.

What people use it for

  • Running Spark data engineering pipelines on managed clusters
  • Building a lakehouse over data in cloud object storage
  • Training and serving machine learning models alongside the data

The honest half

Where it falls short

Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Databricks.

  • Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
  • The free trial lasts 14 days
  • Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
  • Azure Databricks pricing is set by Microsoft rather than by Databricks
  • Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate

Cross-shopped

What people choose instead of Databricks

Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.

Pricing

What Databricks costs

Taken from the vendor's own pricing page. Prices move, so check before you buy.

Community Edition

Free

  • Limited cluster
  • Notebook environment
  • Community support

Standard

$0.07 /DBU

  • Jobs compute
  • SQL compute
  • Standard support

Capabilities

Features

  • Delta Lake

  • Apache Spark

  • MLflow

  • Unity Catalog

  • Photon Engine

  • Collaborative Notebooks

  • Auto-scaling

  • AWS

    Integration with AWS

  • Azure

    Integration with Azure

  • GCP

    Integration with GCP

  • Tableau

    Integration with Tableau

  • Power BI

    Integration with Power BI

Answered, with sources

Questions people ask

Each answer names the page it came from, so you can check it rather than take our word for it.

How is Databricks priced?

Databricks bills pay as you go with no up front cost, charging per second for the products used. Consumption is measured in Databricks Units, a normalised unit of processing power on the platform.

Source
Does Databricks publish a per DBU price?

Not on its main pricing page. Rates vary by product and instance type, and Databricks directs buyers to individual product pricing pages and a calculator rather than listing a single figure.

Source
Does the Databricks price include cloud costs?

No. Databricks states that if you configure it to work with your own cloud account, your cloud provider still charges you separately for the underlying resources.

Source
Can I get a discount on Databricks?

Databricks offers Committed Use Contracts, where larger usage commitments earn greater benefits, including options to use commitments flexibly across multiple clouds.

Source

Behind it

Who makes Databricks

Company
Databricks Inc.
Based in
San Francisco, CA, USA
Founders
Ali Ghodsi, Andy Konwinski, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin, Arsalan Tavakoli

Timeline

Databricks over time

  1. Funding2024-12-17$10bn

    Series J funding at $62 billion valuation

    Source
  2. Funding2021-08-31$1.6bn

    Series H funding at $38 billion valuation

    Source
  3. Funding2013-09-26$13.9m

    Series A funding

    Source
Share

Keep looking

Where to go from Databricks

Best Machine Learning software for

Compare Databricks with

Other Machine Learning software

  • Build, train, and deploy machine learning models at scale

    Free, then $0.04/hour9 researched notes
  • Unified ML platform to build, deploy, and scale AI models

    10 researched notes
  • Microsoft's managed platform for training, tracking and deploying models on Azure

    Free plan13 researched notes
  • Enterprise AI platform for automated machine learning

    12 researched notes
  • Open-source machine learning framework by Google

    Free plan12 researched notes
  • Analytics, AI and data management software

    Free plan11 researched notes
  • The AI Data Cloud for enterprise data warehousing

    Free plan11 researched notes
  • The machine learning library inside Apache Spark, for data that will not fit on one machine

    Free plan14 researched notes
  • Analytics automation platform

    From $250/mo11 researched notes
  • Statistical analysis software for data science

    Free, then $99/mo9 researched notes
  • Open source Python framework that packages models into deployable inference services

    Free plan14 researched notes
  • Open-source MLOps platform for experiment tracking and orchestration

    Free plan8 researched notes
  • Enterprise AI platform for NLP

    Free, then $0.4/million-tokens11 researched notes
  • Scalable analytics in Python

    Free plan13 researched notes
  • Generative media inference platform for developers

    From $1.89/hour11 researched notes
  • Machine learning in BigQuery using SQL

    Free plan10 researched notes
  • Machine learning in BigQuery using SQL

    Free plan10 researched notes

Softwr does not host reviews and shows no star rating for Databricks, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.

More on Databricks

Best Machine Learning software alternatives

Open-source MLOps platform for experiment tracking and orchestration

Open-source self-hosted, with paid hosted and enterprise tiers

Model-agnostic SDK for AI orchestration

Open source, no pricing

LLM engineering platform for testing and evaluating AI agents in production

Tiered subscription with usage-based overage charges

Open-source AI orchestration framework for LLM applications

Open-source with optional paid enterprise support

Generative media inference platform for developers

usage-based

Platform for tracking, comparing, and optimizing ML experiments

freemium

The world's most popular data science platform

Open source Python framework that packages models into deployable inference services

freemium

Compare Databricks with alternatives