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Groonga

3
13
+ 1
0
Solr

670
538
+ 1
125
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Solr vs Groonga: What are the differences?

What is Solr? An open source enterprise search server based on Lucene search library, with XML/HTTP and JSON APIs, hit highlighting, faceted search, caching, replication etc. Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.

What is Groonga? * An open-source full-text search engine and column store*. It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it.

Solr and Groonga can be primarily classified as "Search Engines" tools.

Some of the features offered by Solr are:

  • Advanced Full-Text Search Capabilities
  • Optimized for High Volume Web Traffic
  • Standards Based Open Interfaces - XML, JSON and HTTP

On the other hand, Groonga provides the following key features:

  • Storage Engine
  • Fast
  • Easy to use

Groonga is an open source tool with 542 GitHub stars and 109 GitHub forks. Here's a link to Groonga's open source repository on GitHub.

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Pros of Groonga
Pros of Solr
    Be the first to leave a pro
    • 35
      Powerful
    • 22
      Indexing and searching
    • 20
      Scalable
    • 19
      Customizable
    • 13
      Enterprise Ready
    • 5
      Apache Software Foundation
    • 5
      Restful
    • 4
      Great Search engine
    • 2
      Security built-in

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    No Stats
    - No public GitHub repository available -

    What is Groonga?

    It is an embeddable super fast full text search engine. It can be embedded into MySQL. Mroonga is a storage engine that is based on it.

    What is Solr?

    Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Groonga?
    What companies use Solr?
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    What tools integrate with Groonga?
    What tools integrate with Solr?

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    What are some alternatives to Groonga and Solr?
    Lucene
    Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    Sphinx
    It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
    Algolia
    Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
    Amazon Elasticsearch Service
    Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
    See all alternatives