Apache Hudi
An Apache open-source data lake storage management framework that supports incremental data processing and streaming data ingestion. It provides ACID transactions and record-level update capabilities, suited for near-real-time data lake scenarios.
Core Facts
Apache Iceberg and Apache Hudi, together with Delta Lake, are collectively known as the three major open formats of the lakehouse era.
Lakehouse resolves the contradiction between the lack of ACID transactions in data lakes and vendor lock-in by data warehouse vendors by building a transactional metadata layer (such as Delta Lake, Apache Iceberg, and Apache Hudi) on top of object storage.
Timeline (last 90 days)
Delta Lake, Iceberg and Hudi are the three mainstream open table format implementations today.
Delta Lake uses a transaction log (_delta_log), Apache Iceberg uses manifest files and a metadata tree, and Apache Hudi uses a timeline (Timeline) as the mechanism for implementing the metadata layer.
All three—Delta Lake, Iceberg, and Hudi—support ACID transactions, time travel (historical version queries), schema evolution, and partition pruning.
Hudi is led by Uber and performs prominently in streaming write and incremental processing scenarios.
The lakehouse architecture is based on open storage formats (such as Parquet) and open table formats (such as Delta Lake, Iceberg, and Hudi), providing capabilities such as transactions, version management, and schema evolution on top of low-cost object storage.
The rise of open table formats such as Apache Iceberg, Delta Lake, and Apache Hudi has freed data from being locked to a single engine
Apache Iceberg was initiated by Netflix, and Apache Hudi was open-sourced by Uber, originally focusing on incremental data processing.
All Facts (9)
Apache Iceberg and Apache Hudi, together with Delta Lake, are collectively known as the three major open formats of the lakehouse era.
75%VerifiedLakehouse resolves the contradiction between the lack of ACID transactions in data lakes and vendor lock-in by data warehouse vendors by building a transactional metadata layer (such as Delta Lake, Apache Iceberg, and Apache Hudi) on top of object storage.
75%UnverifiedDelta Lake, Iceberg and Hudi are the three mainstream open table format implementations today.
50%UnverifiedDelta Lake uses a transaction log (_delta_log), Apache Iceberg uses manifest files and a metadata tree, and Apache Hudi uses a timeline (Timeline) as the mechanism for implementing the metadata layer.
50%UnverifiedThe lakehouse architecture is based on open storage formats (such as Parquet) and open table formats (such as Delta Lake, Iceberg, and Hudi), providing capabilities such as transactions, version management, and schema evolution on top of low-cost object storage.
50%UnverifiedHudi is led by Uber and performs prominently in streaming write and incremental processing scenarios.
50%UnverifiedAll three—Delta Lake, Iceberg, and Hudi—support ACID transactions, time travel (historical version queries), schema evolution, and partition pruning.
50%UnverifiedThe rise of open table formats such as Apache Iceberg, Delta Lake, and Apache Hudi has freed data from being locked to a single engine
50%UnverifiedApache Iceberg was initiated by Netflix, and Apache Hudi was open-sourced by Uber, originally focusing on incremental data processing.
50%