Databricks Pricing (2026)
Pure usage-based billing measured in DBUs (Databricks Units) or CUs (Compute Units), charged at per-second granularity — you're paying for compute consumed, not seats or licenses. Every product line (Data Engineering, AI, Genie, etc.) is custom-quoted, meaning list prices are essentially a starting point for negotiation.
- Data Engineering
- Contact Sales
- Data Warehousing
- Contact Sales
- Interactive workloads
- Contact Sales
- Operational Database
- Contact Sales
- Artificial Intelligence
- Contact Sales
- Genie
- Contact Sales
- Platform
- Contact Sales
Keep up with your competitors, without the manual work.
Outmano tracks pricing, features, roadmaps and reviews across your market, then sends one weekly brief: what changed, and what it means for you.
Data Engineering
- Orchestrate data processing, machine learning and analytics pipelines
- Build streaming and batch pipelines
- Ingest data from a wide variety of sources with in-built connectors
- Lakeflow Jobs
- Lakeflow Pipelines
- Lakeflow Connect
Data Warehousing
- Run SQL queries for BI reporting, analytics and visualization to get timely insights from data lakes
- Available in both Classic and Serverless (managed) Compute
Interactive workloads
- Run interactive data science and machine learning workloads
- Build and deploy custom applications with the full security and governance of the Data Intelligence Platform
- Compute for Data Science
- Databricks Apps
Operational Database
- Fully-managed Postgres transactional database for serving data and features to support applications built on Databricks
Artificial Intelligence
- Build production-quality GenAI or ML apps across any use case
- AI Gateway
- Agent Bricks
- AI Functions
- Model Serving
- Foundation Model Serving
- Proprietary Foundation Model Serving
- AI Search
- Agent Evaluation
- Model Training
- AI Runtime
Genie
- AI assistance for every team, across code, analytics, and enterprise knowledge
- Ask in natural language and get trusted, governed answers from your data
- Genie One - Enterprise Knowledge
- Genie Spaces - Natural Language Q&A
- Genie Code - AI Coding Assistant
Platform
- Cross platform capabilities for governance, management and security
- Managed services that automate the ongoing optimization and maintenance of your data lake
- Tiers and Add-ons
- Managed Services
- Data Transfer and Connectivity
- Storage
- Delta Share from SAP BDC
- Collaboration
AI Pricing Analysis
Pricing Model
Pure usage-based billing measured in DBUs (Databricks Units) or CUs (Compute Units), charged at per-second granularity — you're paying for compute consumed, not seats or licenses. Every product line (Data Engineering, AI, Genie, etc.) is custom-quoted, meaning list prices are essentially a starting point for negotiation.
Tier Strategy
There are no traditional tiers here — it's one continuous usage curve with committed use contracts acting as the de facto 'tier' structure. Teams upgrade from pay-as-you-go to committed contracts when their spend becomes predictable enough to justify locking in volume for discounts.
Competitive Positioning
Databricks plays in the premium enterprise data platform space, competing directly with Snowflake and Google BigQuery — they're not trying to win on price, they're winning on unified platform breadth (data engineering + ML + warehousing in one place). The all-custom pricing signals they're targeting mid-market and enterprise accounts with real budget, not self-serve startups.
Growth Lever
Expansion is almost entirely consumption-driven — as pipelines scale, models train, and more teams spin up workloads, DBU spend compounds fast. The real lock-in is architectural: once your data engineering and AI workflows are built on Databricks, switching costs make the committed use contract an easy yes.
Databricks Pricing FAQ
- How much does Databricks cost?
- Pricing is custom — you'll need to talk to their sales team for a quote.
- Is there a free plan?
- No free plan. But there is a free trial, so you can test it out before paying.
- Can I try it before paying?
- Yes — there's a free trial. You don't need a credit card to start.
- How does the pricing work?
- Pure usage-based billing measured in DBUs (Databricks Units) or CUs (Compute Units), charged at per-second granularity — you're paying for compute consumed, not seats or licenses. Every product line (Data Engineering, AI, Genie, etc.) is custom-quoted, meaning list prices are essentially a starting point for negotiation.
- Is there a discount for annual billing?
- Committed Use Contracts offer discounts for committing to certain levels of usage.
- Which plan makes sense for me?
- There are no traditional tiers here — it's one continuous usage curve with committed use contracts acting as the de facto 'tier' structure. Teams upgrade from pay-as-you-go to committed contracts when their spend becomes predictable enough to justify locking in volume for discounts.
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Comparing Databricks to something specific? Try Databricks vs Airbyte, Databricks vs Astronomer, or Databricks vs Census.
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