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Extremely fast Query Engine for DataFrames, written in Rust

Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

cuDF - GPU DataFrame Library

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Apache DataFusion SQL Query Engine

The perfect companion for your Kotlin journey - Inspired by functional, data-oriented and concurrent programming

Create full-fledged APIs for slowly moving datasets without writing a single line of code.

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Official Rust implementation of Apache Arrow

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

Distributed compute platform implemented in Rust, and powered by Apache Arrow.

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Apache DataFusion Ballista Distributed Query Engine

An extensible, state of the art columnar file format. Formerly at @spiraldb, now an Incubation Stage project at LFAI&Data, part of the Linux Foundation.

The Auron accelerator for distributed computing framework (e.g., Spark) leverages native vectorized execution to accelerate query processing

Gluten is a middle layer responsible for offloading JVM-based SQL engines' execution to native engines.

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A portable embedded database using Arrow.

Apache DataFusion Comet Spark Accelerator

LakeSail's computation framework with a mission to unify batch processing, stream processing, and compute-intensive AI workloads.