Full Apache Iceberg REST Catalog API built directly into AIStor—no external catalog services required.
REST Catalog API
Fully compliant Iceberg catalog REST endpoints for catalog, table, and metadata operations.
Query Engine Integration
Connect Spark, Trino, PyIceberg, Flink and others using the the standard Iceberg REST Catalog API.
Atomic Transactions
Commit changes across tables in a single metadata swap. Every reader sees the full previous or full new state, never partial writes.
Time Travel
Query any previous table state by snapshot ID or timestamp from the immutable snapshot metadata tree.
Schema Evolution
Add, rename, drop, or widen columns in metadata only. Iceberg tracks columns by unique ID, not name.
Partition Evolution
Update partition layout on new writes only. Iceberg records which spec applies to each data file.
Why AIStor is Different
Traditional Iceberg deployments require a separate transactional database like PostgreSQL, MYSQL or MongoDB for catalog metadata. This additional layer adds the operational complexity securing, patching, and scaling an additional service. AIStor Tables eliminates that dependency entirely.
Zero External Catalogs
No separate catalog infrastructure to manage
Flexible Compute Layer
Connect any Iceberg-compatible engine such as Spark, Trino, Flink, or PyIceberg.
Unified Data Store
Manage structured Iceberg tables and unstructured object data from a single platform.
Zero-Config Tables
Deploy AIStor and start creating tables. No additional catalog infrastructure to provision, configure, or manage.
Business Impact
Infrastructure Consolidation
One vendor for unstructured and structured data - fewer components to deploy, monitor, and maintain
Security Posture
One platform, one identity model. Tables and objects share the same encryption, access policies, and audit trail.
Durability and Resilience
Tables inherit AIStor's erasure coding and bitrot protection with both catalog metadata and data distributed across available nodes for hardware fault tolerance.
Frictionless Data Collaboration
Make tables available to external consumers on Databricks through AIStor's native Delta Sharing protocol without moving data.
Ready to See It in Action?
Get AIStor running in your environment in minutes.