Zipher for Databricks
Autonomous cluster configuration, workload-aware autoscaling and spot instance management for Databricks jobs.
Zipher profiles past runs and picks cluster settings seconds before each run, then autoscales at runtime and reacts to spot losses and out-of-memory errors. Its published case study describes a Databricks on AWS customer connected through Airflow and Terraform.
- Category
- Databricks optimization platforms
- Clouds
- Not stated
- Pricing
- Not published on the vendor's site
- Website
- zipher.ai ↗
- Databricks page
- Databricks support ↗
- Verified on
Independent listing, not an endorsement. DBU Watch hasn't tested this product and wasn't paid to list it. Details were verified on the vendor's own website on October 16, 2026. Pricing and cloud support are shown only where publicly stated. Spot something wrong? Let us know.
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