Open Table Format
An open-standard table format specification for data lakes, with representative implementations including Apache Iceberg, Delta Lake, and Apache Hudi. It supports multi-engine read/write access, ACID transactions, and metadata management, eliminating vendor lock-in to specific data engines.
Timeline (last 90 days)
Open table formats are a key abstraction layer in the Lakehouse ecosystem, providing table-level metadata management, transactional guarantees and schema evolution capabilities on top of object storage.
Unlike Oracle's proprietary storage format, open formats allow multiple compute engines (such as Spark, Trino and Flink) to read and write the same table, reducing vendor lock-in risk.
Open table formats, open APIs, and unified governance are becoming the three cornerstones of building a modern open lakehouse
All Facts (3)
Open table formats are a key abstraction layer in the Lakehouse ecosystem, providing table-level metadata management, transactional guarantees and schema evolution capabilities on top of object storage.
50%UnverifiedUnlike Oracle's proprietary storage format, open formats allow multiple compute engines (such as Spark, Trino and Flink) to read and write the same table, reducing vendor lock-in risk.
50%UnverifiedOpen table formats, open APIs, and unified governance are becoming the three cornerstones of building a modern open lakehouse
50%