Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
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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..
- machine-learning
- computer-vision
- data-format
- deep-learning
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
DuckLake is an integrated data lake and catalog format
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
- data
- spark
- java
- iceberg