AIStor Table Sharing: Extending Databricks to Your On-Premises Data.

On-Demand Demo

On-Demand Demo: What You'll Learn

In this demo, Dwight Evers walks through how AIStor natively implements the open Delta Sharing protocol at the storage layer, so Databricks can query on-premises tables live as governed data products in Unity Catalog. Data stays on-premises. Read-only access is enforced at the storage layer with scoped, expiring bearer tokens. Unity Catalog governs on-premises tables alongside native Databricks catalogs.
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Configuring a Delta Sharing credential profile in AIStor
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Importing the credential into Databricks Unity Catalog
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Running standard Databricks SQL against on-premises data, with no copy written to cloud storage

Related Resources

Built for enterprises with data that can't move to the cloud, whether for data sovereignty and regulatory reasons, petabyte-scale economics, or latency-sensitive workloads where stale snapshots destroy the value of the analysis.
Product
AIStor Table Sharing
Use Case
On-Premises Data for Databricks
Databricks logo with stacked layers icon on a blurred gradient background.
Blog
Unlocking On-Premises Data for Databricks: Secure, Zero-Copy Sharing with AIStor Table Sharing
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