Skip to content
Toolradar
Databricks logo

Databricks

Claim this toolEditor reviewed

Unified analytics for data engineering, science, and ML

Data & DatabasesAnalyticsCloud & Infrastructure
Visit Website
Reviews onG2Capterra
667 reviews tracked

The Bottom Line

Entry price

Paid plans only

Biggest pro

Unified platform

Biggest con

Expensive

TL;DR - Databricks

  • Data and AI platform using consumption-based DBU pricing from $0.07 to $0.65+/DBU
  • Lakehouse combines data lake and warehouse on AWS, Azure, or GCP with Spark engine
  • Leader in 2025 Gartner MQ for Database Management with free Community Edition
Pricing: Paid only
Best for: Enterprises & pros
4.6/5 across review platforms

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

how we evaluateSourcedatabricks.com ↗

Pros & Cons

Pros

  • Unified platform
  • Great collaboration
  • Delta Lake

Cons

  • Expensive
  • Vendor lock-in

Ratings Across the Web

4.6(667 reviews)
G2658 reviews
4.6/5
Capterra9 reviews
4.7/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Unified analyticsDelta LakeMachine learningSQL analyticsData engineeringCollaborative notebooks

Pricing Plans

Free Trial

Pricing checked Jul 5, 2026

Community Edition

null

Usage-based pricing

  • Limited features
  • Training
  • Open source
Most Popular

Jobs Compute

null

$0.07-0.15/DBU

  • Scheduled workloads
  • 30-50% cheaper
  • Automated jobs

All-Purpose

null

$0.20-0.40/DBU

  • Interactive workloads
  • Notebooks
  • Exploration

SQL Compute

null

$0.22-0.65/DBU

  • BI queries
  • SQL analytics
  • Dashboards
Calculate your costView full pricing

Reviews

Improve Your Thinking Patterns Using ChatGPT cover
$99Free with your review

Review Databricks, get a free AI guide

Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.

Write a review
4.6/5

Across 667 verified user reviews on G2, Capterra

Add your hands-on experience using the offer above to help the next buyer.

Best Databricks Alternatives

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

Snowflake logo
SnowflakePaid

Unify your data across clouds with separate compute and storage

4.6
Starburst logo
StarburstFreemium

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

4.4
Apache Spark logo
Apache SparkFree

Unified analytics engine for big data

4.4
Presto logo
PrestoFree

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

See all data & databases tools →

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 SnowflakeHead-to-head: features, pricing, who winsDatabricks vs StarburstHead-to-head: features, pricing, who winsDatabricks vs Apache SparkHead-to-head: features, pricing, who wins

Explore More

Best Data & Databases ToolsBest Analytics ToolsBest Cloud & Infrastructure Tools

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

Guides & Articles

Best Big Data Analytics Tools in 2026

Features Databricks

Best Real-Time Analytics Tools in 2026

Features Databricks

Best Predictive Analytics Tools in 2026

Features Databricks