Apache Iceberg
Delta Lake, Apache Hudi, Lance y otras. 4 alternativas a Apache Iceberg, en Scala, Java, Rust. Compara el nivel de sustitución, la licencia, las estrellas y la última versión firmada.
| Herramienta | Sustitución | Estrellas | Licencia | Condiciones | Autoalojable | Lenguaje | Última versión | Último push |
|---|---|---|---|---|---|---|---|---|
| Delta Lake | Sustitución completa | 9k | Apache-2.0 | Código abierto | No | Scala | v4.4.1 | 2026-10-18 |
| Apache Hudi | Sustitución completa | 6.3k | Apache-2.0 | Código abierto | No | Java | release-1.2.1 | 2026-10-19 |
| Lance | Parcial | 7.2k | Apache-2.0 | Código abierto | No | Rust | v13.0.0 | 2026-10-19 |
| Apache Paimon | Parcial | 3.4k | Apache-2.0 | Código abierto | No | Java | release-2.1.0 | 2026-10-19 |
4 alternativas
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.