Apache Iceberg
Delta Lake, Apache Hudi, Lance et d'autres. 4 alternatives à Apache Iceberg, en Scala, Java, Rust. Comparez le type de remplacement, la licence, les étoiles et la dernière release signée.
| Outil | Remplacement | Étoiles | Licence | Conditions | Auto-hébergeable | Langage | Dernière release | Dernier push |
|---|---|---|---|---|---|---|---|---|
| Delta Lake | Remplacement complet | 9k | Apache-2.0 | Open source | Non | Scala | v4.4.1 | 2026-10-18 |
| Apache Hudi | Remplacement complet | 6.3k | Apache-2.0 | Open source | Non | Java | release-1.2.1 | 2026-10-19 |
| Lance | Partiel | 7.2k | Apache-2.0 | Open source | Non | Rust | v13.0.0 | 2026-10-19 |
| Apache Paimon | Partiel | 3.4k | Apache-2.0 | Open source | Non | Java | release-2.1.0 | 2026-10-19 |
4 alternatives
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Open table format with ACID transactions and time travel on object storage.
Upserts, Deletes And Incremental Processing on Big Data.
Table format with upserts, deletes and incremental processing on a data lake.
Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
Columnar table format aimed at ML and multimodal data, with fast random access and vector indexes.
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Lake table format built for streaming writes with Flink and Spark, with changelog production.