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Open Table Format is a category of open standards for organizing and managing data in data lakehouses. The three dominant formats are Apache Iceberg (the emerging industry standard), Delta Lake (Databricks-originated), and Apache Hudi (upsert-optimized). These formats bring ACID transactions, schema evolution, time travel, and efficient query planning to data lake storage. Apache Iceberg defines a REST Catalog API that enables standardized catalog operations across implementations.
APIs
Apache Iceberg REST Catalog API
An open REST API specification for interacting with Apache Iceberg table catalogs. Provides standard operations for namespace management, table lifecycle, view management, and metadata operations.
Snapshot - Immutable point-in-time table state enabling time travel
Manifest File - Avro file tracking data files with column-level statistics
Catalog - Service mapping table names to metadata file locations
REST Catalog - Standardized HTTP API for catalog operations
Schema Evolution - Add/drop/rename columns without rewriting data
Partition Evolution - Change partitioning strategy without rewrites
ACID Transactions - Atomicity, Consistency, Isolation, Durability on object storage
Tags
Data Lakehouse
Open Table Format
Apache Iceberg
Delta Lake
Apache Hudi
ACID Transactions
Schema Evolution
Time Travel
About
Table Format is a specialized technology or methodology in the table domain that addresses specific technical or business requirements. It provides targeted capabilities that help practitioners and organizations solve problems and improve outcomes in their area of focus.