Announcing General Availability of MinIO AIStor Tables
AIStor Tables: The first data store to build-in Apache Iceberg™ V3, unifying both tables and objects for analytics and AI at scale
Read moreIceberg Catalog API
A collection of 5 posts tagged with "Iceberg Catalog API"
Iceberg Views in AIStor Tables
AIStor Tables is the first on-prem and hybrid data store to support Iceberg REST Catalog views. Iceberg views are catalog-native, engine-agnostic virtual tables that simplify access, enable versioning, and work across Spark, Trino, and more without an external catalog.
Read moreAIStor Tables: Native Iceberg V3 for On-Premises Object Storage
Apache Iceberg V3 boosts performance with deletion vectors that move delete costs to write time, row-level lineage for accurate incremental processing, variant types for efficient JSON queries, and native geospatial types with storage-level pruning. AIStor is the first to support V3.
Read moreFrom Data Swamps to Reliable Data Systems: How Iceberg Brought 40 Years of Database Wisdom to Data Lakes
The data lake was once heralded as the future, an infinitely scalable reservoir for all our raw data, promising to transform it into actionable insights. This was a logical progression from databases and data warehouses, each step driven by the increasing demand for scalability. Yet, in embracing the data lake's scale and flexibility, we overlooked a critical difference.
Read moreThe Case for Native Iceberg Catalog APIs and Unified Governance in Object Storage
Apache Iceberg is significantly transforming modern data lakes. Its introduction to object storage platforms has been celebrated for delivering ACID transactions, strong schema evolution, and warehouse-like reliability to data lake architectures. The Iceberg Catalog API standard is crucial to this transformation, as it ensures that various tools can consistently discover tables and execute atomic transactions once a compliant catalog service
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