Daft
@daftengine
Distributed query engine providing simple and reliable data processing for any modality and scale (https://github.com/Eventual-Inc/Daft)
Building generational technology that makes data processing across all modalities simple, reliable and performant regardless of scale.
Today we're announcing that Eventual has raised $30M in Seed and Series A funding from @CRV and @felicis as well as @ycombinator, @M12vc and @Citi and others. The AI era needs data infrastructure built for AI, not retrofitted. 🧵
I’m happy to announce that I’ll be speaking at PyCon AU 2025 happening in Melbourne, Australia, and I’ll be talking about the amazing #Python Data ecosystem if you plan on going, you can use my voucher lnkd.in/gf5PwjkB #duckdb #polars, #daft #datafusion #deltalake
Spark Connect for Daft with distributed execution is just as easy as local. With the same 2 line change, you can point to a Ray cluster and run the same Spark queries with Daft’s distributed execution. Try it out yourself and get started: pip install daft Check out our Spark…
The future of data processing is here and we're hiring the engineers who will define it. Any modality. Radical potential. We built the infrastructure that makes multimodal data as simple as SQL. Petabytes flow through our engine daily at Amazon, CloudKitchens, and Together AI.…
🏅 CSV Benchmark Results: 🥇 #DuckDB – blazing fast, sets the gold standard 🥈 #Daft – surprisingly solid, great performance 🥉 #CHDB – fast, as long as the data fit in memory ⚙️ #Polars, #PyArrow, #Pandas , #DataFusion disqualified 😢😢 #onelake #Python #delta_rs
How does Spark Connect for Daft work under the hood? Spark Connect for Daft translates the original Spark queries into Daft’s own logical plan, allowing for native execution of Spark queries in Daft. Try it out yourself and get started: pip install daft Check out our Spark…