Awesome
JuliaDB is unmaintained. Please consider using DataFrames or DTables
<p align="center"><a href="http://juliadb.org" target="_blank"><img width="128" src="https://user-images.githubusercontent.com/25916/36773410-843e61b0-1c7f-11e8-818b-3edb08da8f41.png" alt="JuliaDB logo"></a></p> <p align="center"> <a href="https://juliadata.github.io/JuliaDB.jl/latest/" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue.svg" alt="Latest documentation"></a> <a href="https://travis-ci.org/JuliaData/JuliaDB.jl" target="_blank"><img src="https://travis-ci.org/JuliaData/JuliaDB.jl.svg?branch=master" alt="Travis CI"></a> <a href="https://codecov.io/gh/JuliaData/JuliaDB.jl" target="_blank"><img src="https://codecov.io/gh/JuliaData/JuliaDB.jl/branch/master/graph/badge.svg" alt="Code Coverage"></a> </p>JuliaDB is a package for working with large persistent data sets
We recognized the need for an all-Julia, end-to-end tool that can
- Load multi-dimensional datasets quickly and incrementally.
- Index the data and perform filter, aggregate, sort and join operations.
- Save results and load them efficiently later.
- Use Julia's built-in parallelism to fully utilize any machine or cluster.
We built JuliaDB to fill this void.
Get Started
Introduce yourself to JuliaDB's features at juliadb.org or jump into the documentation here!