Azure Databricks
Choose the SKU to meet your needs
Jobs Light
Compute
Run data engineering pipelines on Databricks’ equivalent of open source Apache Spark for simple, non-critical workloads.
Standard SKU?
This is pricing for the Azure Databricks Standard SKU only. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.
Premium SKU?
This is pricing for the Azure Databricks Premium SKU only. Pricing for other applicable Azure resource will also apply. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.
Jobs
Compute
Run data engineering pipelines on Databricks’ optimized engine to build data lakes and manage data at scale.
Standard SKU?
This is pricing for the Azure Databricks Standard SKU only. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
$0.15 / DBU?
Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.
Premium SKU?
This is pricing for the Azure Databricks Premium SKU only. Pricing for other applicable Azure resource will also apply. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
$0.30 / DBU?
Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.
SQL Compute
(Preview)
Use SQL analytics to run SQL queries for BI reporting, analytics and visualization to get timely insights from data lakes.
Standard SKU?
This is pricing for the Azure Databricks Standard SKU only. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
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Premium SKU?
This is pricing for the Azure Databricks Premium SKU only. Pricing for other applicable Azure resource will also apply. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
$0.15 / DBU?
Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.
All-purpose
Compute
Run interactive data science and machine learning workloads. Also good for data engineering BI and data analytics.
Standard SKU?
This is pricing for the Azure Databricks Standard SKU only. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
$0.40 / DBU?
Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.
Premium SKU?
This is pricing for the Azure Databricks Premium SKU only. Pricing for other applicable Azure resource will also apply. Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
$0.55 / DBU?
Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.
The pricing shown above is for Azure Databricks services only. It does not include pricing for any other required Azure resources (e.g. compute instances).
Please visit the Microsoft Azure Databricks pricing page for more details including pricing by instance type.
* Usage will be metered as Standard Jobs Compute DBUs
Standard Plan Features
Jobs Light
Compute
Apache Spark on Azure Databricks
- Clusters for running production jobs
- Alerting and monitoring with retries
Easy to run production jobs including streaming with monitoring
- Scheduler for running libraries
- Production streaming with monitoring
Ability to use Scala, Python, R and SQL notebooks and notebook workflows
- Schedule Scala, Python, R, SQL notebooks
- Notebook workflows
Easy to manage and cost-effective clusters
- Autoscaling of compute
- Autoscaling of instance storage
- Automatic start and termination of clusters
Out-of-the-box ML frameworks
- Apache Spark / Horovod Integration
- XGBoost support
- TensorFlow, PyTorch and Keras support
Run MLflow on Databricks platform to simplify the end-to-end ML lifecycle
- MLflow remote execution on Databricks platform
- Databricks hosted tracking server
Robust pipelines serving clean, quality data supporting high performance batch and streaming analytics at scale
- ACID transactions
- Schema management
- Batch/Stream read/write Support
- Data versioning
- Performance optimizations
High-concurrency mode for multiple users
- Persistent clusters for analytics
- High concurrency clusters for multi-user sharing
Highly productive work among analysts and with other colleagues
- Scala, Python, SQL and R notebooks
- One-click visualization
- Interactive dashboards
- Collaboration
- Revision history
- Version control systems integration (Github, Bitbucket)
Ability to work with RStudio® and a range of third party BI tools
- RStudio integration
- BI Integration through JDBC/ODBC
Cloud-native secure networking as the standard architecture
- VNET Injection
- Secure Cluster Connectivity (preview)
Jobs
Compute
Apache Spark on Azure Databricks
- Clusters for running production jobs
- Alerting and monitoring with retries
Easy to run production jobs including streaming with monitoring
- Scheduler for running libraries
- Production streaming with monitoring
Ability to use Scala, Python, R and SQL notebooks and notebook workflows
- Schedule Scala, Python, R, SQL notebooks
- Notebook workflows
Easy to manage and cost-effective clusters
- Autoscaling of compute
- Autoscaling of instance storage
- Automatic start and termination of clusters
Out-of-the-box ML frameworks
- Apache Spark / Horovod Integration
- XGBoost support
- TensorFlow, PyTorch and Keras support
Run MLflow on Databricks platform to simplify the end-to-end ML lifecycle
- MLflow remote execution on Databricks platform
- Databricks hosted tracking server
Robust pipelines serving clean, quality data supporting high performance batch and streaming analytics at scale
- ACID transactions
- Schema management
- Batch/Stream read/write Support
- Data versioning
- Performance optimizations
High-concurrency mode for multiple users
- Persistent clusters for analytics
- High concurrency clusters for multi-user sharing
Highly productive work among analysts and with other colleagues
- Scala, Python, SQL and R notebooks
- One-click visualization
- Interactive dashboards
- Collaboration
- Revision history
- Version control systems integration (Github, Bitbucket)
Ability to work with RStudio® and a range of third party BI tools
- RStudio integration
- BI Integration through JDBC/ODBC
Cloud-native secure networking as the standard architecture
- VNET Injection
- Secure Cluster Connectivity (preview)
All-purpose
Compute
Apache Spark on Azure Databricks
- Clusters for running production jobs
- Alerting and monitoring with retries
Easy to run production jobs including streaming with monitoring
- Scheduler for running libraries
- Production streaming with monitoring
Ability to use Scala, Python, R and SQL notebooks and notebook workflows
- Schedule Scala, Python, R, SQL notebooks
- Notebook workflows
Easy to manage and cost-effective clusters
- Autoscaling of compute
- Autoscaling of instance storage
- Automatic start and termination of clusters
Out-of-the-box ML frameworks
- Apache Spark / Horovod Integration
- XGBoost support
- TensorFlow, PyTorch and Keras support
Run MLflow on Databricks platform to simplify the end-to-end ML lifecycle
- MLflow remote execution on Databricks platform
- Databricks hosted tracking server
Robust pipelines serving clean, quality data supporting high performance batch and streaming analytics at scale
- ACID transactions
- Schema management
- Batch/Stream read/write Support
- Data versioning
- Performance optimizations
High-concurrency mode for multiple users
- Persistent clusters for analytics
- High concurrency clusters for multi-user sharing
Highly productive work among analysts and with other colleagues
- Scala, Python, SQL and R notebooks
- One-click visualization
- Interactive dashboards
- Collaboration
- Revision history
- Version control systems integration (Github, Bitbucket)
Ability to work with RStudio® and a range of third party BI tools
- RStudio integration
- BI Integration through JDBC/ODBC
Cloud-native secure networking as the standard architecture
- VNET Injection
- Secure Cluster Connectivity (preview)
Premium Plan Features
Advanced scalability and security features optimizing for organizational efficiency
Jobs Light
Compute
All Standard Plan features
Optimized autoscaling of compute
Azure AD credential passthrough
Conditional Authentication
Role-based access control for notebooks, clusters, jobs, tables
Audit Logs
IP Access List
Token Management API
- Advanced query optimizer
- Photon vectorized execution engine
- Optimized custom connector
- Advanced load balancer for high concurrency
- Optimized BI connectors
- Centralized SQL query history
- Query troubleshooting & debugging
- Collaborative queries, dashboards & alerts
- Simple, SQL oriented UX
- SQL lifecycle management
Jobs
Compute
All Standard Plan features
Optimized autoscaling of compute
Azure AD credential passthrough
Conditional Authentication
Role-based access control for notebooks, clusters, jobs, tables
Audit Logs
IP Access List
Token Management API
- Advanced query optimizer
- Photon vectorized execution engine
- Optimized custom connector
- Advanced load balancer for high concurrency
- Optimized BI connectors
- Centralized SQL query history
- Query troubleshooting & debugging
- Collaborative queries, dashboards & alerts
- Simple, SQL oriented UX
- SQL lifecycle management
SQL Compute
(Preview)
All Standard Plan features
Optimized autoscaling of compute
Azure AD credential passthrough
Conditional Authentication
Role-based access control for notebooks, clusters, jobs, tables
Audit Logs
IP Access List
Token Management API
- Advanced query optimizer
- Photon vectorized execution engine
- Optimized custom connector
- Advanced load balancer for high concurrency
- Optimized BI connectors
- Centralized SQL query history
- Query troubleshooting & debugging
- Collaborative queries, dashboards & alerts
- Simple, SQL oriented UX
- SQL lifecycle management
All-purpose
Compute
All Standard Plan features
Optimized autoscaling of compute
Azure AD credential passthrough
Conditional Authentication
Role-based access control for notebooks, clusters, jobs, tables
Audit Logs
IP Access List
Token Management API
- Advanced query optimizer
- Photon vectorized execution engine
- Optimized custom connector
- Advanced load balancer for high concurrency
- Optimized BI connectors
- Centralized SQL query history
- Query troubleshooting & debugging
- Collaborative queries, dashboards & alerts
- Simple, SQL oriented UX
- SQL lifecycle management
*Available at SQL Compute GA