Databricks API
Manage Databricks workspaces, clusters, jobs, notebooks, and ML workflows programmatically. Automate data engineering and machine learning pipelines.
Verified
2026-02-04
At a glance
Essential information
About
Databricks API provides programmatic access to the unified data analytics platform built on Apache Spark. Automate data engineering pipelines, manage ML workflows, orchestrate jobs, and scale big data processing in the cloud.
What you can build
- Automated data pipelines
- ML workflow orchestration
- Cluster management automation
- Job scheduling systems
- Notebook execution engines
- Data quality monitoring
- Cost optimization tools
- CI/CD for data projects
Pricing
View Pricing| Free tier | Yes |
| Starting from | Free trial (14 days) |
| Notes | Free trial 14 days $400 credit. Pricing based on DBUs (Databricks Units) - varies by cloud provider and workload type. Typically $0.07-0.60/DBU. |
Last updated: 2026-02-04. Please refer to the official pricing page as pricing may have changed.
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Authentication & Limits
View Docs- Auth type
- bearer
- Rate limits
- No strict published limits. Fair use policy applies. Enterprise plans have higher limits.
FAQ
Free 14-day trial with $400 credit. After that, pay-as-you-go based on compute usage (DBUs). API access included.
