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

Postgres Data Warehouse, built on Iceberg

A SQLite vtable extension to read Parquet files

A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster

R package to read and write Parquet files

NodeJS module to access apache parquet format files

Library to read a subset of Parquet files

Enables extraction of measurement data from binary files with extension 'raw' used by proprietary software imcFAMOS/imcSTUDIO and facilitates its storage in open source file formats

kdb+ integration with Apache Arrow and Parquet

Squey is a visualization software designed to interactively explore and understand large amounts of tabular data (this is the read-only mirror of https://gitlab.com/squey/squey)

Read and write parquet files from Stata

A high-throughput, structured streaming framework built atop Redis Streams. C++, Python, and MATLAB support.

A C++ library for easily writing Parquet files containing columns of (mostly) any type you wish.

Demo App - Satellite Produce Consumer App

Instructions how to install and compile a simple app for reading a parquet file in C++.