Lucene vs Solr vs Sphinx

Lucene
Lucene

98
176
0
Solr
Solr

427
375
111
Sphinx
Sphinx

114
18
25
- No public GitHub repository available -
- No public GitHub repository available -
- No public GitHub repository available -

What is 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.

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.

What is Sphinx?

Sphinx 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 Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well.

Want advice about which of these to choose?Ask the StackShare community!

Why do developers choose Lucene?
Why do developers choose Solr?
Why do developers choose Sphinx?
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          What companies use Lucene?
          What companies use Solr?
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          What are some alternatives to Lucene, Solr, and Sphinx?
          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).
          Apache Solr
          It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.
          MkDocs
          It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.
          Searchkick
          Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.
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          What tools integrate with Lucene?
          What tools integrate with Solr?
          What tools integrate with Sphinx?
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            Decisions about Lucene, Solr, and Sphinx
            StackShare Editors
            StackShare Editors
            Lucene
            Solr

            "Slack provides two strategies for searching: Recent and Relevant. Recent search finds the messages that match all terms and presents them in reverse chronological order. If a user is trying to recall something that just happened, Recent is a useful presentation of the results.

            Relevant search relaxes the age constraint and takes into account the Lucene score of the document — how well it matches the query terms (Solr powers search at Slack). Used about 17% of the time, Relevant search performed slightly worse than Recent according to the search quality metrics we measured: the number of clicks per search and the click-through rate of the search results in the top several positions. We recognized that Relevant search could benefit from using the user’s interaction history with channels and other users — their ‘work graph’."

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            Interest over time
            Reviews of Lucene, Solr, and Sphinx
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            How developers use Lucene, Solr, and Sphinx
            Avatar of Kang Hyeon Ku
            Kang Hyeon Ku uses SolrSolr

            elastic search 와 함께 유명한 검색 엔진 오픈 소스 중 하나 이다. 처음 설정할 것이 많은데, 어플리케이션의 이해가 없다면 잦은 수정이 필요하다. Solr Client 로 제어 할 수 없고 Server 에서 설정해 줘야하는 것들이 있어 서버 설정하는 부분이 중요하다. 서버 설정만 잘 되있다면, Client 쪽 소스는 별게 없다.

            중요한 건 형태소 분석기....

            Avatar of Andrew Gatenby
            Andrew Gatenby uses SphinxSphinx

            We use Sphinx as the main search indexing system on our clients' websites. It's a more powerful system than we even scratch the surface of, and allows us to index data from a variety of sources.

            Avatar of The Independent
            The Independent uses SolrSolr

            Full text search is provided by a SOLR cluster. This is done on Master/Slave replication with Varnish as a cache.

            Avatar of GadgetSteve
            GadgetSteve uses SphinxSphinx

            Generate beautiful documentation from version controlled inputs

            Avatar of Blue Kangaroo
            Blue Kangaroo uses SolrSolr

            Personalized search engine (for content-based filtering)

            Avatar of Blue Kangaroo
            Blue Kangaroo uses LuceneLucene

            High-performance text-based category classification.

            Avatar of Satoru Ishikawa
            Satoru Ishikawa uses SolrSolr

            某プロプライエタリなWebアプリを動かすのに必要だった(インストールと構築のみ)

            Avatar of SAP Hybris
            SAP Hybris uses SolrSolr

            standard hybris-commerce implementation

            Avatar of PlushForums
            PlushForums uses SphinxSphinx

            Advanced full-text search.

            How much does Lucene cost?
            How much does Solr cost?
            How much does Sphinx cost?
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