Your Databricks queries can now reach data that never left your data center.

Some of your most valuable data will never leave your data center. Compliance, data gravity, latency, and cost keep it out of reach of Databricks. With AIStor, Databricks doesn’t need your data to move. 

Join us live on Thursday, October 22 at 10:00 AM PT to see how AIStor Table Sharing bridges that gap. No replication, ETL, or migration required.

 What you'll see:

• Why data gets stuck on-prem - the real cost, governance, and freshness tradeoffs of moving data just to make it queryable in the cloud

• Live demo - connect AIStor and query on-prem data from Databricks in real time - no staging, no sync jobs

• How OpenSharing works - AIStor implements the protocol natively at the storage layer - no extra servers or gateways to deploy

• How governance stays put - shares are defined, secured, and published where the data lives, with read-only access enforced

• Real-world use cases - sovereign analytics, hybrid lakehouse architectures, and secure zero-copy sharing

Designed for data engineers, platform architects, and analytics leaders extending Databricks to on-premises or hybrid data - especially in regulated, latency-sensitive, or data-sovereignty-constrained environments.