MinIO releases AIStor Table Sharing for Databricks access
MinIO released AIStor Table Sharing, a capability that allowed enterprises to provide Databricks with direct access to on-premises (on-prem) data so teams could use fresh data for real-time analytics and intelligence.
A growing share of valuable data remained on-prem because of scale, performance, cost, and data sovereignty requirements, and historically making that data available to Databricks required complex pipelines, duplicate datasets, and separate governance layers, which produced delayed time-to-insight, higher costs, operational risk, and ongoing overhead.
AIStor Table Sharing embedded the Delta Sharing protocol into the object store and built on AIStor Tables, the Iceberg V3-native foundation. AIStor Tables combined MinIO’s S3-compatible object storage with integrated Iceberg table catalogs, metadata, a Representational State Transfer (REST) Application Programming Interface (API), and open sharing standards, and it supported both Delta and Apache Iceberg table formats with native Databricks integration; the feature was generally available with MinIO AIStor.
“Customers consistently ask us to be able to govern and share data stored in and out of the cloud. Our partnership with MinIO is a testament to the power of an open data ecosystem,” said Stephen Orban, SVP of Product Ecosystem and Partnerships, Databricks. “Enterprises shouldn’t have to move massive datasets just to analyze them,” said AB Periasamy, co-founder and co-CEO, MinIO.
“Today, all data is AI data, and as AI blurs the lines between on-premises and cloud environments, data gravity remains a hard reality. Powered by Delta Sharing, AIStor Table Sharing removes that constraint by allowing data to be accessed and shared where it lives, providing faster insights, lower risk, and simpler operations as enterprises scale AI across hybrid environments.” said AB Periasamy, co-founder and co-CEO, MinIO. MinIO said customers could adopt AIStor Table Sharing immediately and scale as requirements grow.