Azure Databricks Plans Pricing
Azure Databricks is priced as DBUs (Databricks Units) per second of compute consumption, separately metered from the underlying Azure VM cost. Two tiers (Standard and Premium) bundle different workspace features; workload type (All-Purpose, Jobs, SQL, Model Serving, DLT) determines the per-DBU rate. Customers also pay the Azure compute, storage, and network charges associated with their cluster VMs. Photon-enabled compute consumes DBUs at higher multipliers. See Azure pricing calculator for the exact per-DBU rate by region and workload.
Azure Databricks Plans Pricing is the machine-readable pricing-plan profile for Azure Databricks on the APIs.io network, conforming to the API Commons Plans specification.
It defines 4 plans, covering freemium, usage-based, and subscription tiers, with named plans including Databricks Free Edition, Standard Tier, Premium Tier, Databricks Commit Units (DBCU) Pre-Purchase.
Tagged areas include Analytics, Big Data, Data Engineering, Lakehouse, and Machine Learning.
Plans
Limited free environment for learning and evaluation. Restricted compute, storage, and API throughput.
- Sandbox compute
- Limited Genie API throughput (5 questions/min)
- Tutorial datasets
DBU-priced compute across All-Purpose, Jobs, DLT, SQL, and Model Serving workloads. Plus Azure VM, storage, and network cost.
- Apache Spark and Photon engine
- Delta Lake / Unity Catalog
- MLflow tracking
- Notebooks, jobs, dashboards
All Standard features plus role-based access control, audit logging, customer-managed keys, IP access lists, token management, and conditional authentication. Higher per-DBU rate.
- All Standard features
- Table access control / Unity Catalog row-column security
- Audit logs
- Customer-managed keys
- IP access lists
- Conditional authentication
1- or 3-year pre-purchased commitment of DBCUs for discounted DBU consumption.
- Up-front discount on DBU rate
- Cross-workload coverage
- Applied automatically against DBU consumption