Giter Site home page Giter Site logo

elasticsearch-vs-solr's Introduction

Elasticsearch vs Solr

Below are datasets that used in this project:

Dataset Volume
teamfights_players.csv - Dota 2 Matches ~300 MB / 1500000
X.txt - Web of Science Dataset ~70 MB / 46985
googleplaystore_user_reviews.csv - Google Play Store Apps ~17 MB / 64295

Paper:

Ayşenur Deniz, Muhammed Mehdi Elömer and Ahmet Arif Aydin, "A comparison of Apache Solr and Elasticsearch technologies in support of large-scale data analysis" Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 2023, doi: 10.17714/gumusfenbil.1213317

Descriptions

.

Files Info

Queries.py - Contains the Queries methods

Timer.py - Methods for running time of code pieces

License

elasticsearch-vs-solr's People

Contributors

aysenurdeniz avatar mehdialomer avatar

Stargazers

박태현 Taehyun Park avatar

Watchers

Ahmet Arif AYDIN avatar Kostas Georgiou avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.