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Lakehouse table formats

Open table formats that add transactions, schema evolution and time travel to files on object storage.

Perbandingan berdampingan

Lakehouse table formats
AlatBintangLisensiKetentuanSelf-hostedBahasaTerbaruPush terakhir
Apache Iceberg9.3kApache-2.0Open sourceTidakJavaapache-iceberg-1.12.02026-10-06
Delta Lake9kApache-2.0Open sourceTidakScalav4.4.12026-10-06
Lance7.1kApache-2.0Open sourceTidakRustv12.0.02026-10-06
Apache Hudi6.3kApache-2.0Open sourceTidakJavarelease-1.2.12026-10-06
Apache Paimon3.4kApache-2.0Open sourceTidakJavarelease-2.0.02026-10-06

5 alat

Delta Lake

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

Bahasa
Scala
Lisensi
Apache-2.0
Bintang
9k
Terbaru
v4.4.1
Push terakhir
2026-10-06
Lance

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..

Bahasa
Rust
Lisensi
Apache-2.0
Bintang
7.1k
Terbaru
v12.0.0
Push terakhir
2026-10-06
Apache Paimon

Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.

Bahasa
Java
Lisensi
Apache-2.0
Bintang
3.4k
Terbaru
release-2.0.0
Push terakhir
2026-10-06