AIStor Table Sharing gives Databricks direct, live access to Delta and Apache Iceberg™ tables stored in AIStor without replication, pipelines, or separate sharing servers. AIStor remains the source of truth on-premises while Databricks runs analytics and AI in the cloud.
Bridging On-Prem Data to Databricks with AIStor Table Sharing
Join MinIO for a look at how AIStor Table Sharing connects Databricks directly to on-premises Delta and Apache Iceberg tables, no replication, ETL, or migration required. This webinar is for you if:
You're a data engineer or platform architect evaluating how to extend Databricks to on-premises or hybrid data
You need to keep critical datasets on-prem for compliance, sovereignty, or latency reasons, but still want them queryable from Databricks
You want to see a live demo of querying on-premises data via OpenSharing, with governance and access control enforced at the storage layer
Share governed Delta and Iceberg tables directly from object storage without deploying a standalone sharing server.
Live Table Access
Gain insights in seconds not hours by eliminating exports, copies, and synchronization pipelines.
Read-Only by Design
Consumers query shared tables safely with enforced read-only semantics and no risk of mutation.
Native Databricks Integration
Allow Databricks to query Delta and Iceberg tables stored in AIStor using the OpenSharing protocol, enabling cloud analytics and AI on on-premises data without duplication.
Open Engine Compatibility
Work with Spark, Pandas, DuckDB, BI tools, and other OpenSharing-compatible engines.
Fine-Grained Governance
Control Delta and Iceberg table access at the share, schema, or table level using centralized policies.
Hybrid and Cross-Cloud
Share Delta and Iceberg tables stored in AIStor on-premises with consumers running in public cloud analytics platforms.
Share Once. Analyze Anywhere.
AIStor Table Sharing removes the need to copy high-value analytical data into cloud storage to use Databricks. Tables remain in AIStor under a single governance model while Databricks queries them live using open standards. While optimized for Databricks, AIStor Table Sharing remains fully open to any compatible engine.
Zero Replication
Tables stay in AIStor. Databricks queries them live with no copies, no sync jobs, and no drift.
Direct Databricks Access
Native OpenSharing integration connects Databricks directly to AIStor without middleware or manual configuration.
Centralized Governance
One access control model across all consumers. No duplicate policies, no shadow copies to audit.
Open Standard, No Lock-In
Built on the open OpenSharing protocol. Any compatible engine can query your tables.
Why AIStor Is Different
Traditional data sharing relies on file exports, ETL/ELT, cloud copies, or proprietary exchange services. These approaches increase cost, introduce time-to-insight latency, and fracture governance. AIStor Table Sharing securely shares governed tables directly from object storage using a built-in open protocol, eliminating duplication while preserving performance and control.
Zero Copies
No exports, snapshots, or replication pipelines to manage or pay for.
One Source of Truth
Data remains authoritative in AIStor with consistent security and auditing.
No Cloud Mirroring
Avoid duplicating on-premises data into cloud object storage just to use Databricks.
Native to Object Store
No external sharing services or middleware layers required.
Open by Design
Built on the OpenSharing protocol to avoid lock-in and maximize interoperability.
No Standalone Sharing Server
Sharing is embedded directly in AIStor. No additional services to deploy or maintain.
Business Impact
Faster Time to Insight
Analyze fresh data instantly without waiting hours for replication or ETL/ELT pipeline completion.
Stronger Governance
Maintain consistent access controls, auditing, and compliance boundaries.
Simpler Operations
Reduce pipeline sprawl and operational overhead tied to data movement.
Lower Infrastructure Cost
Eliminate duplicate storage and data egress costs across environments.
Extend Cloud Compute
Run Databricks analytics and AI against on-premises data without relocating it.
Ready to See It in Action?
Run AIStor Table Sharing in your environment and share governed tables in minutes.
.svg)
.svg)
