Databricks Support Plans
Service · Support & maintenance · Data & analytics by Databricks
Expert technical support for your Databricks and Spark workloads.
These plans are designed for enterprise teams that require guaranteed support for technical issues and billing inquiries across AWS, Azure, and Google Cloud environments. The service includes centralized case management through the Databricks Help Center, allowing users to track and resolve platform-specific challenges efficiently. Beyond direct assistance, the plans complement self-service resources such as a comprehensive knowledge base and a global status page for monitoring service availability. By providing expert guidance, Databricks ensures that data teams can maintain platform stabilit
- Languages
- English
Category: Customer Support Software
- Delivery
- Online via Help Center and support cases
- Supported Technologies
- Databricks Platform, Apache Spark, MLflow, TensorFlow, R
- Cloud Platforms
- AWS, Microsoft Azure, Google Cloud Platform
- Monitoring Tools
- Databricks Status Page
- Coverage for AWS, Azure, and Google Cloud environments
- Centralized case management via the Databricks Help Center
- Access to a global system status and maintenance monitoring page
Overview
These plans are designed for enterprise teams that require guaranteed support for technical issues and billing inquiries across AWS, Azure, and Google Cloud environments. The service includes centralized case management through the Databricks Help Center, allowing users to track and resolve platform-specific challenges efficiently. Beyond direct assistance, the plans complement self-service resources such as a comprehensive knowledge base and a global status page for monitoring service availability. By providing expert guidance, Databricks ensures that data teams can maintain platform stability and performance for their critical analytics and AI workloads.
Technical Support and Resolution
- Case Management: Users can open and manage support cases through a centralized Help Center interface for streamlined issue resolution.
- Self-Service Resources: The support service includes access to a comprehensive knowledge base and technical documentation for self-service troubleshooting.
Monitoring and Operations
- Proactive Alerts: Subscribers can receive status updates and alerts on individual service components to stay informed of outages or maintenance.
- Resource Limit Guidance: The service provides information on numerical limits for Databricks resources to help teams manage their environment.
What's included
- Technical support for Databricks platform and Apache Spark, billing inquiries, and case management
Use cases
- Enterprise data teams open support cases to resolve technical issues within their Databricks workspace.
- Administrators use the status page to monitor service availability and maintenance schedules across global regions.
- Data engineers access the knowledge base to find solutions for common Apache Spark and Delta Lake performance challenges.
Specifications
- Delivery
- Online via Help Center and support cases
- Supported Technologies
- Databricks Platform, Apache Spark, MLflow, TensorFlow, R
- Cloud Platforms
- AWS, Microsoft Azure, Google Cloud Platform
- Monitoring Tools
- Databricks Status Page
How it works
- Open a Support Case: Authorized users access the Databricks Help Center to submit technical or billing support cases.
- Receive Technical Assistance: Databricks support engineers provide timely service and technical resolutions for the platform and Apache Spark.
FAQ
Where can I check the current status of Databricks services?
Databricks provides a Status Page where you can monitor system status, service availability, and maintenance schedules across all regions.
Which cloud environments are supported?
Support is available for Databricks environments hosted on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
Added by AntSpace from public sources (help.databricks.com).