Data engineers and platform administrators evaluating how to give Databricks or on-premises Spark access to Iceberg data in AIStor without building replication pipelines or moving data to the cloud.
.svg)
Tables can be added to an existing share from the AIStor console at any time without generating a new token or interrupting active Databricks consumers.
A single Table Share endpoint serves both Iceberg and Delta Lake tables simultaneously, with the consumer needing only the share profile file and a bearer token to connect.
The same share profile works identically for cloud-based Databricks and local Apache Spark, giving on-premises and cloud analytics platforms unified access to AIStor data without separate configurations.
.svg)
