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MinIO Launches AIStor Tables to Unify Enterprise Data for AI


MinIO Launches AIStor Tables to Unify Enterprise Data for AI
  • by: Source Logo
  • |
  • February 3, 2026

MinIO has announced the general availability of AIStor Tables, a unified data store designed to break down silos between structured and unstructured enterprise data. This single, high-performance platform unifies tables and objects, providing the scale, speed, and contextual data access required for modern agentic AI and analytics workloads.

Quick Intel

  • MinIO releases AIStor Tables into general availability.

  • It unifies structured tables and unstructured objects in a single data store.

  • The platform is built for the scale and speed demands of agentic AI.

  • It natively integrates the full Apache Iceberg V3 Catalog REST API.

  • The solution aims to reduce storage costs and operational complexity.

  • It allows AI agents to analyze complete, up-to-date enterprise data seamlessly.

Eliminating Data Silos for AI

The launch addresses a critical bottleneck in enterprise AI: fragmented data. By unifying tables and objects within a single data plane and security model, AIStor eliminates the traditional silos between databases and object storage. This architecture allows AI agents and analytics engines to operate on a complete, authoritative view of both structured and unstructured data, enabling better reasoning and greater impact from AI initiatives.

A Fundamental Shift in Data Architecture

AIStor Tables represents a significant architectural advancement, making Apache Iceberg tables first-class citizens within the object store. This native integration includes support for views and multi-table transactions, providing a simpler, industry-compliant catalog. Unlike cloud-specific alternatives, MinIO's solution is included natively, potentially reducing list-price storage costs by up to 40% and offering deployment flexibility across on-premises, private, and hybrid environments.

Object-Native Design for Predictable Performance

Built on an object-native architecture, AIStor is designed for the massive concurrency, predictable latency, and mixed workloads demanded by enterprise AI and analytics. This minimalist, software-centric design maximizes flexibility and performance while reducing operational overhead. The result is a system that scales seamlessly and allows enterprises to run diverse workloads directly on the same data with consistent governance and cost efficiency.

The general availability follows a successful tech preview, with early adopters highlighting operational benefits. "It allows us to move faster, reduce operational complexity, DR recovery process, and treat all our data as first class,” said Conor Brennan, Managing Director Risk IT at Nomura. This release positions MinIO as a key enabler for enterprises seeking to unify their data foundation to fully leverage agentic AI.

About MinIO

MinIO is the data foundation for enterprise analytics and AI. Built for exascale performance and limitless scale, MinIO AIStor delivers a secure, sovereign, and AI-ready data store that spans from edge to core to cloud. With rampant adoption across the Fortune 100 and 500, MinIO is redefining how organizations and government agencies store, manage, and mobilize all of their data in the AI era. MinIO is backed by Jerry Yang's AME Cloud Ventures, Dell Technologies, General Catalyst, Index Ventures, Intel Capital, Softbank Vision Fund 2 and others.

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