Unified analytics for data engineering, science, and ML
Visit WebsiteThe Bottom Line
Entry price
Paid plans only
Biggest pro
Unified platform
Biggest con
Expensive at scale
TL;DR - Databricks
- 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
What is Databricks?
Available on: Web
Pros & Cons
Pros
- Unified platform
- Great collaboration
- Delta Lake
Cons
- Expensive at scale
- Complex dual billing (DBU plus cloud infra)
- Steep learning curve
Ratings Across the Web
Databricks holds an aggregate rating of 4.6 out of 5 from 1,385 reviews across G2 and Capterra, last checked August 27, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
Pricing Plans
Free TrialPricing checked Aug 24, 2026
Community Edition
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Usage-based pricing
- Limited features
- Training
- Open source
Jobs Compute
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$0.07-0.15/DBU
- Scheduled workloads
- 30-50% cheaper
- Automated jobs
All-Purpose
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$0.20-0.40/DBU
- Interactive workloads
- Notebooks
- Exploration
SQL Compute
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$0.22-0.65/DBU
- BI queries
- SQL analytics
- Dashboards
Is Databricks worth the price?
Databricks' pricing, particularly for All-Purpose Compute at $0.20-0.40/DBU and SQL Compute at $0.22-0.65/DBU, can quickly become expensive, and the separate cloud infrastructure bill for VMs, storage, and networking comes on top of DBU charges.
While Jobs Compute offers a more affordable entry at $0.07-0.15/DBU, the overall model leans towards the higher end of the market. 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
Higher DBU rates for interactive workloads
Pre-purchase commits needed for savings
Potential for rapid cost escalation with usage
How Databricks Compares to Competitors
Compared to Snowflake, which often charges per credit (e.g., $2-$4/credit for standard), Databricks' DBU model can be harder to predict but potentially more granular. For example, Databricks' All-Purpose Compute at $0.20-0.40/DBU plus cloud costs can rival or exceed the cost of similar processing on platforms like Google Cloud Dataproc or AWS EMR, which also have their own instance-based pricing.
Reviews
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Databricks FAQ
How does Databricks facilitate data engineering workflows?
Which teams benefit most from using Databricks?
How does Databricks compare to Snowflake for data analytics?
What kind of trade-offs should users consider when adopting Databricks?
How is Databricks priced?
Can Databricks manage the entire machine learning lifecycle?
Does Databricks offer features for reliable data lakes?
Source: databricks.com