AIStor: On-Premises Data Foundation for Databricks

The Databricks Data Intelligence Platform brings together the compute, AI, and governance capabilities enterprises use to industrialize analytics and AI. AIStor is the object-native data foundation at the center of the lakehouse, keeping on-premises data live, governed, and instantly accessible to Databricks without replication, pipelines, or cloud migration.
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IN THE NEWS

MinIO AIStor Becomes the Data Store for the Databricks® Data Intelligence Platform

AIStor natively integrates Delta Sharing, enabling enterprises to securely share on-premises data directly with Databricks for real-time analytics and AI. No data movement, data copies, or separate governance layers.

By natively integrating Delta Sharing, MinIO enables enterprises to securely connect on-premises data to the Databricks Data Intelligence Platform without complex replication, accelerating time-to-insight for hybrid workloads.

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— Stephen Orban

SVP of Product Ecosystem & Partnerships, Databricks

AIStor Fuels the Databricks Data Intelligence Platform

Enterprises running Databricks in the cloud need their most valuable on-premises data to be instantly accessible, at the right performance, cost, and governance level. AIStor is the unified data foundation that makes this possible, accelerating analytics, enterprise RAG, and real-time AI inference across hybrid environments.
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Zero-Copy Hybrid Analytics
AIStor embeds Delta Sharing natively at the storage layer, giving Databricks direct, live query access to Delta and Apache Iceberg™ tables stored on-premises. No data pipelines, no synchronization, no stale snapshots.
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Native Delta Sharing built into object storage with no standalone sharing servers
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Live query access: only query results move, not the data
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Works with both Delta Lake and Apache Iceberg™ V3 tables
Sovereign Data Infrastructure
Deploy AIStor in your data center with no external cloud dependencies. Your data stays where compliance demands it, while Databricks runs at full speed.
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No egress to public cloud — full data residency and sovereignty on-premises
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No cloud lock-in for data that must remain on-premises
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Enforces read-only access at the storage layer
Simplified Hybrid Architecture
AIStor replaces fragmented multi-tier architectures and standalone sharing servers with a single, high-performance data store that feeds every stage of the AI and analytics pipeline.
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No proprietary gateways or reverse proxies
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No separate governance plane to manage
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One source of truth across hybrid environments
Storage That Keeps Pace With Databricks Compute
Databricks workloads are only as fast as the storage behind them. AIStor delivers object data at wire speed — ensuring on-premises data is never the bottleneck in analytics, training, or inference pipelines.
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Designed for the throughput demands of distributed Databricks compute
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Scales linearly from terabytes to exabytes without re-architecting
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Purpose-built Iceberg V3 tables eliminate the latency of external metadata services

Read More

Blog
AIStor Table Sharing Connects Databricks Directly to On-Premises Data in AIStor
Blog
Unlocking On-Premises Data for Databricks: Secure, Zero-Copy Sharing with AIStor Table Sharing
Whitepaper
Databricks and AIStor Table Sharing
Press Release
MinIO Unlocks On-Prem Enterprise AI Data for Databricks Customers

How AIStor + Databricks Works

AIStor deploys as the unified storage layer in hybrid environments, replacing fragmented multi-tier architectures with a single high-performance data store that feeds every stage of the Databricks pipeline.
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Native Delta Sharing at the Storage Layer
AIStor embeds the Delta Sharing protocol directly into the object store — industry-first sharing of on-premises tables with cloud Databricks instances.
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No standalone Delta Sharing server required
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No reverse proxies or sidecar services
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Shares update automatically as tables evolve
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Storage at Wire Speed
AIStor delivers object data at the speed Databricks compute demands, ensuring queries are never bottlenecked by storage.
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On-premises data is processed directly by Databricks compute
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Eliminates bottlenecks in the data pathScales to match
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Databricks workload throughput
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Built on AIStor Tables — Full Iceberg V3
AIStor is the only data store with built-in, full Iceberg V3 tables, making it the ideal on-premises lakehouse foundation for Databricks.
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Both tables and objects as first-class citizens
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Guaranteed data correctness with atomic, multi-table transactions
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Unified visibility across all AI data, structured and unstructured
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Seamless ecosystem fit: works out-of-the-box with Databricks Unity Catalog
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Architected for Enterprise On-Premises Deployment
AIStor's minimal footprint makes it purpose-built for on-premises and hybrid environments.
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Deploys on industry-standard hardware
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No external metadata databases or background services
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Linear scaling from terabytes to exabytes

Built for Real-World Databricks Workloads

Analytics & AI Training
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Large language model pre-training
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Foundation model fine-tuningMulti-modal training pipelines
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Distributed training data loading
AI Training & Inference, Without the Pipelines
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Live access to on-premises training datasets from Databricks
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No replication or staging before model training begins
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Model checkpoint and artifact storage on-premises
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Experiment tracking without data leaving the source
Data Preparation
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Dataset curation and preprocessing
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Feature engineering pipelines
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Model checkpoint storage
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Experiment tracking and artifacts

Get AIStor running in your Databricks environment in minutes.

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