Databricks

Name: Databricks
Brand: Databricks
Rating: 4.6 (1385 reviews)

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Unified analytics for data engineering, science, and ML

Paid plans only, free trial

Paid Data & Databases Analytics Cloud & Infrastructure

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4.6 (1,385 across the web)

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Reviews on G2 Capterra

1,385 reviews tracked

The Bottom Line

Updated Jul 20, 2026

Price: Paid plans only, free trial. Compare plans

Key facts

Data and AI platform using consumption-based DBU pricing
Lakehouse combines data lake and warehouse on AWS, Azure, or GCP with Spark engine
Leader in industry reports for Database Management with free Community Edition

Pros

Unified platform
Great collaboration
Delta Lake

Cons

Expensive at scale
Complex dual billing (DBU plus cloud infra)
Steep learning curve

What is Databricks?

Editorial review

Databricks is a unified analytics platform combining data engineering, data science, and machine learning. Lakehouse architecture unifies data warehouses and data lakes. Collaborative notebooks for data teams. MLflow manages machine learning lifecycle. Delta Lake provides reliable data lakes. The platform where data teams do their best work.

Available on: Web

Louis Corneloup Updated Jul 20, 2026 · how we evaluate Source databricks.com ↗

Ratings Across the Web

4.6 (1,385 reviews)

Databricks holds an aggregate rating of 4.6 out of 5 from 1,385 reviews across G2 and Capterra, last checked September 17, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

Unified analytics
Delta Lake
Photon engine
Serverless compute
Machine learning
Mosaic AI
SQL analytics
Data engineering
Collaborative notebooks

Pricing Plans

Free Trial

Pricing checked Oct 4, 2026

Databricks plans and prices, checked October 2026
Plan	Price	Details
Community Edition	Custom	Usage-based pricing Limited features Training Open source
Jobs Compute Popular	Custom	$0.07-0.15/DBU Scheduled workloads 30-50% cheaper Automated jobs
All-Purpose	Custom	$0.20-0.40/DBU Interactive workloads Notebooks Exploration
SQL Compute	Custom	$0.22-0.65/DBU BI queries SQL analytics Dashboards

View full pricing

Is Databricks worth the price?

Fair value

It's best for enterprises with significant data processing needs and budgets to match.

Hidden Costs & Gotchas

Separate cloud infrastructure bill on top of DBUs, varying with instance types and usage

Full Databricks pricing: every plan, hidden costs and alternatives

Reviews

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4.6/5

Across 1,385 verified user reviews on G2, Capterra

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Best Databricks Alternatives

Top alternatives based on features, pricing, and user needs.

Snowflake Paid

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4.1

Apache Spark Free

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Starburst Freemium

Unify data, context, and governance for trusted AI and faster insights across all data sources.

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Presto Free

Query petabytes of data across diverse sources with lightning-fast, open-source SQL.

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Databricks vs Snowflake Head-to-head: features, pricing, who wins Databricks vs Apache Spark Head-to-head: features, pricing, who wins Databricks vs Starburst Head-to-head: features, pricing, who wins

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Databricks FAQ

How does Databricks facilitate data engineering workflows?

Databricks provides a unified analytics platform that combines data engineering capabilities with data science and machine learning. Its Lakehouse architecture unifies data warehouses and data lakes, streamlining the process of building and managing data pipelines.

Which teams benefit most from using Databricks?

Databricks is designed for data teams, including data engineers, data scientists, and machine learning engineers. It offers collaborative notebooks and a unified platform to support their diverse workflows and foster teamwork.

How does Databricks compare to Snowflake for data analytics?

Databricks and Snowflake both offer data analytics capabilities, but Databricks emphasizes a unified platform for data engineering, science, and machine learning, leveraging its Lakehouse architecture. Databricks also highlights its collaborative notebooks and MLflow for machine learning lifecycle management.

What kind of trade-offs should users consider when adopting Databricks?

Users should consider that Databricks can be an expensive solution. Additionally, adopting Databricks may lead to some degree of vendor lock-in due to its integrated and specialized architecture.

How is Databricks priced?

Databricks is a paid product and does not include a permanently free tier. Its pricing model is based on usage, though specific details are not provided here.

Can Databricks manage the entire machine learning lifecycle?

Yes, Databricks includes MLflow, which is specifically designed to manage the machine learning lifecycle. This integration helps data teams track experiments, package code, and deploy models efficiently within the unified platform.

Does Databricks offer features for reliable data lakes?

Databricks incorporates Delta Lake, which provides reliable data lakes within its platform. This component ensures data quality and consistency, supporting robust data engineering and analytics operations.

Source: databricks.com

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