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

Commandline tool for running SQL queries against JSON, CSV, Excel, Parquet, and more.

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

Official Rust implementation of Apache Arrow

Apache Parquet Java

Blazing-fast Data-Wrangling toolkit

Rill is a tool for effortlessly transforming data sets into powerful, opinionated dashboards using SQL. BI-as-code.

Apache Drill is a distributed MPP query layer for self describing data

Apache Parquet Format

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

A large-scale entity and relation database supporting aggregation of properties

cryo is the easiest way to extract blockchain data to parquet, csv, json, or python dataframes

Single-binary Postgres read replica optimized for analytics

Quilt is a data mesh for connecting people with actionable data

Postgres Data Warehouse, built on Iceberg

ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.

A portable embedded database using Arrow.

Simple Windows desktop application for viewing & querying Apache Parquet files

ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Functions, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.