MinIO AIStor Tables embeds a full Apache Iceberg™ V3 REST Catalog directly into the data storage layer for easier, faster BI and AI. Structured tables live securely alongside unstructured objects and scale together on one data plane. No separate metastore. No bolt-on catalog. No infrastructure sprawl. Simpler. Faster. Secure.
First-Class Data Organization for Modern Lakehouse
Warehouse buckets, tables, and namespaces built directly into the storage layer for modern data architectures.
Warehouse Buckets as Native Primitives
Top-level containers built into the storage layer, eliminating external bucket management and enabling seamless multi-tenant data organization.
Tables as Native Primitives
Tables are built into the storage layer with ACID guarantees, schema evolution, and time travel, eliminating the need for external metastores or catalog infrastructure.
Hierarchical Namespace Support
Organize tables into multi-level namespaces with isolated access policies. Support for complex organizational structures enables enterprise taxonomy and multi-tenant isolation at massive scale.
Integrated Iceberg Catalog
Native Apache Iceberg REST Catalog implementation eliminates Hive, Glue, Nessie, and proprietary catalogs. Direct integration with Spark, Trino, Flink, and PyIceberg without intermediary services or client wrappers.
Table Sharing
With native OpenSharing, AIStor Table Sharing makes the storage layer a secure, governed layer for distributing structured Iceberg and Delta tables.
Lakehouse Architecture Without Operational Complexity
Traditional lakehouse deployments require separate object storage, metastore infrastructure, and catalog synchronization. MinIO AIStor unifies these layers by making tables and namespaces first-class storage primitives.
This architectural innovation enables AI teams to build training pipelines, real-time feature stores, and analytical workloads on a single exascale-capable platform.
Zero Infrastructure
No external metastore or catalog infrastructure required
ACID Transactions
ACID transactions guarantee consistency for concurrent AI workloads
Schema Evolution
Schema evolution supports iterative model development without rewrites
Time Travel
Time travel enables reproducible training runs and model versioning
Why AIStor is Different
Traditional data lakes force enterprises to manage separate object storage, metastores like Hive or Glue, and complex orchestration to maintain consistency. Warehouse Buckets and tables are treated as external constructs layered on top of storage, creating fragmentation, latency, and operational overhead.
MinIO AIStor makes warehouse buckets, tables, and namespaces native storage primitives, delivering the unified lakehouse foundation required for workloads at exascale.
Unified Lakehouse Platform
Objects and tables are managed in a single system with full catalog metadata visibility, without separate infrastructure.
Zero External Dependency
No Nessie, Hive, Glue, or metastore infrastructure required for table management.
First-Class Primitives
Warehouse buckets, tables, and namespaces are native constructs with ACID guarantees and multi-table atomic transactions built into the platform.
Business Impact
Unify Data Infrastructure
Consolidate warehouse bucket management, object storage, table operations, and catalog layers on a single platform, reducing operational complexity and infrastructure costs.
Simplify Multi-Tenancy
Hierarchical namespace isolation allows multiple teams to share infrastructure securely, with granular access control and resource quotas for production deployments.
Future-Proof AI Architecture
Native Apache Iceberg 3.0 compliance with REST Catalog specification ensures direct integration with any Iceberg-compatible tool without intermediary services.
Enable Exascale Analytics
Query petabytes of structured data with consistent performance, supporting real-time feature engineering and analytical workloads for modern applications.
Ready to See It in Action?
Get AIStor running in your environment in minutes.
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