Most enterprise data is splintered across databases, filesystems, and object stores — and agentic AI systems that need to traverse structured and unstructured data simultaneously cannot function at full capability in that environment. AIStor Tables is MinIO's answer: the first object-native, on-premises object store with a built-in Apache Iceberg Catalog API. The format war in open table standards is settled, and Iceberg has won — every major analytics engine now supports it. AIStor Tables brings that capability directly into the object storage layer, eliminating the need for separate catalog infrastructure and enabling agentic AI systems to query transactions, documents, call logs, and customer records from a single unified store. This brief covers the architecture of AIStor Tables, the advantages of object-native Iceberg integration, and the use cases it unlocks for AI and analytics teams.
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Enterprise data is fragmented across databases, filesystems, and object stores — a problem that becomes critical as agentic AI systems need to traverse structured and unstructured data simultaneously.
AIStor Tables is the first on-prem object store with a built-in Apache Iceberg Catalog API, eliminating the need for separate catalog infrastructure and enabling SQL queries directly on object storage.
With Iceberg established as the winning open table format across all major analytics engines, AIStor Tables positions on-prem object storage as a first-class participant in the modern data stack.
Data engineers, AI platform architects, and analytics teams building agentic AI systems or unified data architectures that require Iceberg-native table access alongside unstructured object storage.
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