Azure Pricing - Databricks

Azure Databricks

Choose the SKU to meet your needs

 

Data Engineering Light

Run jobs on Azure Databricks Automated Clusters
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.

$0.07 / 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.

$0.22 / DBU ?

Databricks Unit (DBU)
A unit of processing capability per hour, billed on a per-second usage.

 

Data Engineering

Run jobs on Azure Databricks Automated Clusters, with optimized runtime for better performance
Standard SKU ?

This is pricing for the Azure Databricks Standard 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.

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.

 

Data Analytics

Collaborate on projects, notebooks, and experiments with Azure Databricks Interactive Clusters
Standard SKU ?

This is pricing for the Azure Databricks Standard 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.

$0.40 / 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. 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.

Try Azure Databricks Free

Standard Plan Features

 

Data Engineering Light

X
Apache Spark on Azure Databricks
  • Clusters for running production jobs
  • Alerting and monitoring with retries
X
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
  • Optimized 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
 

Data Engineering

X
 
Apache Spark on Azure Databricks
  • Clusters for running production jobs
  • Alerting and monitoring with retries
X
 
Easy to run production jobs including streaming with monitoring
  • Scheduler for running libraries
  • Production streaming with monitoring
X
 
Ability to use Scala, Python, R and SQL notebooks and notebook workflows
  • Schedule Scala, Python, R, SQL notebooks
  • Notebook workflows
X
 
Easy to manage and cost-effective clusters
  • Optimized autoscaling of compute
  • Autoscaling of instance storage
  • Automatic start and termination of clusters
X
 
Out-of-the-box ML frameworks
  • Apache Spark / Horovod Integration
  • XGBoost support
  • TensorFlow, PyTorch and Keras support
X
 
Run MLflow on Databricks platform to simplify the end-to-end ML lifecycle
  • MLflow remote execution on Databricks platform
  • Databricks hosted tracking server
 
 
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
 

Data Analytics

X
 
Apache Spark on Azure Databricks
  • Clusters for running production jobs
  • Alerting and monitoring with retries
X
 
Easy to run production jobs including streaming with monitoring
  • Scheduler for running libraries
  • Production streaming with monitoring
X
 
Ability to use Scala, Python, R and SQL notebooks and notebook workflows
  • Schedule Scala, Python, R, SQL notebooks
  • Notebook workflows
X
 
Easy to manage and cost-effective clusters
  • Optimized autoscaling of compute
  • Autoscaling of instance storage
  • Automatic start and termination of clusters
X
 
Out-of-the-box ML frameworks
  • Apache Spark / Horovod Integration
  • XGBoost support
  • TensorFlow, PyTorch and Keras support
X
 
Run MLflow on Databricks platform to simplify the end-to-end ML lifecycle
  • MLflow remote execution on Databricks platform
  • Databricks hosted tracking server
X
 
High-concurrency mode for multiple users
  • Persistent clusters for analytics
  • High concurrency clusters for multi-user sharing
X
 
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)
X
 
Ability to work with RStudio® and a range of third party BI tools
  • RStudio integration
  • BI Integration through JDBC/ODBC


Premium Plan Features

Advanced security features added optimizing for organizational scalability

 

Data Engineering Light

All Standard Plan features
X
Azure AD credential passthrough
X
Conditional Authentication
X
VNET Injection
X
Role-based access control for notebooks, clusters, jobs, tables
X
Audit Logs
X
 

Data Engineering

All Standard Plan features
X
Azure AD credential passthrough
X
Conditional Authentication
X
VNET Injection
X
Role-based access control for notebooks, clusters, jobs, tables
X
Audit Logs
X
 

Data Analytics

All Standard Plan features
X
Azure AD credential passthrough
X
Conditional Authentication
X
VNET Injection
X
Role-based access control for notebooks, clusters, jobs, tables
X
Audit Logs
X

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