By Stephanie Simone
MinIO, the data foundation for enterprise analytics and AI, is debuting AIStor Table Sharing, a capability built into MinIO AIStor that allows enterprises to securely share their on-premises data directly with theDatabricksplatform for instant access to fresh data for real-time analytics and intelligence. AIStor natively integrates Delta Sharing open protocol.
Even as enterprises increasingly standardize on Databricks for advanced analytics and AI, a growing share of their most valuable data remains on-premises due to scale, performance, cost, and data sovereignty requirements, according to MinIO.
AIStor Table Sharing addresses this friction by embedding Delta Sharing directly into the object store.Delta Sharingis Databricks’ open source approach that enables customers to share live data across platforms, clouds, and regions with strong security and governance.
Table Sharing enables federated, enterprise-scale analytics without data movement, copies, or lock-in, the company said.
“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.”
AIStor Table Sharing is built on AIStor Tables, the Iceberg V3-native foundation for modern data lakehouses running at enterprise scale on-premises and in hybrid environments. AIStor Tables combines MinIO’s high-performance, S3-compatible object storage with integrated Iceberg table catalogs, metadata, REST API, and open sharing standards, allowing table shares to be defined, governed, and published directly from the same system where the data is stored.
By bringing structured and unstructured data together in a single platform, AIStor Tables transforms AIStor into a true AI data store, feeding analytics engines and GPUs directly without data duplication, architectural sprawl, or operational overhead.
AIStor Table Sharing extends this foundation, enabling Databricks customers to unify access to their on-premises data for analytics and AI while preserving performance, cost efficiency, and control, the companies said.
As AI raises the stakes for speed, scale, and governance, AIStor Table Sharing redefines how enterprises can unify and connect their cloud compute with their on-premises data stores with the following features:
- Open sharing, built in:Native implementation of the Delta Sharing enables seamless, standards-based data sharing without proprietary lock-in.
- Instantly analyze data where it lives:Access live on-premises data without replication, eliminating costly data movement and copies while preserving performance and control.
- Multi-table format flexibility:Works with both Delta and Apache Iceberg tables, giving enterprises the freedom to standardize on open formats as analytics and AI needs evolve.
- Native Databricks integration:Integrates directly with Databricks via the Delta Sharing protocol, enabling enterprises to extend their cloud analytics compute to on-premises data without added delays, costs, or complexity.
- Built for real-world architectures:Designed for on-premises, hybrid, and multi-cloud environments, aligning with how enterprises store and govern data today.
“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. “By natively integrating Delta Sharing, MinIO enables enterprises to securely connect their on-premises data to Databricks without complex replication, accelerating time-to-insight for hybrid workloads.”
AIStor Table Sharing is now generally available with MinIO AIStor.
For more information about this news, visit www.min.io.