Extremely fast Query Engine for DataFrames, written in Rust
- dataframe-library
- dataframe
- dataframes
- rust
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Extremely fast Query Engine for DataFrames, written in Rust
A vector index built on TurboQuant, written in Rust with Python bindings
Apache DataFusion SQL Query Engine
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
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..
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
An open lakehouse engine — Postgres-native, vector-native and Python-native. Speaks PostgreSQL, runs on your object storage, written in Rust.
A query engine for any combination of data sources. Query your files and APIs as if they were databases!
Fastest library to load data from DB to DataFrames in Rust and Python
Apache DataFusion Ballista Distributed Query Engine
In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.
TypeDB Drivers for Rust, Python, Java, Node.js, C, C++, and C#.
A modern, Pythonic ORM for TypeDB with an Attribute-based API that aligns with TypeDB's type system.