Data engineers, platform architects, and Databricks administrators at organizations that need cloud analytics platforms to access on-premises data governed by sovereignty, compliance, or cost constraints.
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The Delta Sharing protocol is built directly into the AIStor binary with full feature parity across bare-metal and container deployments, removing the need for any third-party sharing framework.
A single AIStor Table Share endpoint serves both Delta and Iceberg tables simultaneously, with table format being the only variable -- no programmatic changes required on the consumer side.
Databricks workloads on AWS, Azure (Premium tier), and GCP can query live on-premises AIStor data via secure Private Link or Direct Connect connections, with administrators able to update shares dynamically without interrupting active Databricks sessions.
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