AIStor makes warehouses, tables, and namespaces native storage primitives, enabling modern lakehouse architectures for AI and analytics. Built on Apache Iceberg with S3 Tables API support, it delivers a unified data foundation for real-time analytics at exascale.
Warehouse buckets, tables, and namespaces built directly into the storage layer for modern data architectures.
Warehouse Buckets
Top-level containers with full S3 Tables API compatibility, eliminating external bucket management and enabling seamless multi-tenant data organization.
Native Tables
Tables built into the storage layer with ACID guarantees, schema evolution, and time travel, no external metastores required.
Namespace Isolation
Organize tables into namespaces with isolated access policies for secure data sharing across teams and business units.
Integrated Catalog
Native Apache Iceberg support with S3 Tables API eliminates Hive, Glue, and proprietary catalogs entirely.
Lakehouse Without Complexity
Traditional lakehouse deployments require separate object storage, metastore infrastructure, and catalog synchronization. AIStor unifies these layers by making tables and namespaces native primitives, enabling AI teams to build training pipelines and analytical workloads on a single exascale platform.
Zero Infrastructure
No external metastore or catalog infrastructure required
ACID Transactions
ACID transactions for concurrent AI workloads
Schema Evolution
Schema evolution without rewrites
Time Travel
Time travel for reproducible training runs Namespace isolation provides secure multi-tenant environments
Get the Complete Technical Details
Learn how MinIO AIStor's first-class table and namespace support transforms lakehouse architectures for data analytics workloads at exascale. Our technical documentation covers catalog integration, table formats, multi-tenancy patterns, and performance optimization for modern data platforms.
First-class table architecture and design principles
Native Iceberg catalog without external dependencies
Namespace-based multi-tenancy and access control
ACID transactions for AI training and feature engineering
Traditional data lakes force enterprises to manage separate object storage, metastores like Hive or Glue, and complex orchestration to maintain consistency. Tables and namespaces are external constructs layered on top of storage, creating fragmentation, latency, and operational overhead. AIStor makes them native storage primitives instead.
Native
Primitives
Warehouse buckets, tables, and namespaces built directly into the storage layer.
Zero
External Catalogs
No Nessie, Hive, Glue, or metastore infrastructure required.
Full
ACID Guarantees
Transactions, schema evolution, and time travel built into every table.
Unified
Platform
Objects and tables managed in a single system without separate infrastructure.
Business Impact
Unified Data Infrastructure
Consolidate object storage, table operations, and catalog layers on a single platform—fewer systems to manage.
Secure Multi-Tenancy
Namespace isolation lets multiple teams share infrastructure with granular access control and resource quotas.
Future-Proof Architecture
Native Iceberg and S3 Tables API ensure compatibility with emerging lakehouse standards without migration risk.
Exascale Analytics
Query petabytes of structured data with consistent performance for real-time feature engineering and analytics.
Ready to See It in Action?
Get AIStor running in your environment in minutes.
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