Luceneย vsย Solrย vsย Sphinx

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Lucene

145
175
+ 1
0
Solr

642
505
+ 1
124
Sphinx

195
222
+ 1
27
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Pros of Lucene
Pros of Solr
Pros of Sphinx
    Be the first to leave a pro
    • 35
      Powerful
    • 22
      Indexing and searching
    • 20
      Scalable
    • 19
      Customizable
    • 13
      Enterprise Ready
    • 5
      Restful
    • 5
      Apache Software Foundation
    • 3
      Great Search engine
    • 2
      Security built-in
    • 15
      Fast
    • 7
      Simple deployment
    • 5
      Open source
    • 0
      Lots of extentions

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    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?

    It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily โ€” or index and search data on the fly, working with it pretty much as with a database server.

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    What companies use Lucene?
    What companies use Solr?
    What companies use Sphinx?

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    What tools integrate with Lucene?
    What tools integrate with Solr?
    What tools integrate with Sphinx?

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    Blog Posts

    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.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
    See all alternatives
    How developers use Lucene, Solr, and Sphinx
    Kang Hyeon Ku uses
    Solr

    elastic search ์™€ ํ•จ๊ป˜ ์œ ๋ช…ํ•œ ๊ฒ€์ƒ‰ ์—”์ง„ ์˜คํ”ˆ ์†Œ์Šค ์ค‘ ํ•˜๋‚˜ ์ด๋‹ค. ์ฒ˜์Œ ์„ค์ •ํ•  ๊ฒƒ์ด ๋งŽ์€๋ฐ, ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ์ดํ•ด๊ฐ€ ์—†๋‹ค๋ฉด ์žฆ์€ ์ˆ˜์ •์ด ํ•„์š”ํ•˜๋‹ค. Solr Client ๋กœ ์ œ์–ด ํ•  ์ˆ˜ ์—†๊ณ  Server ์—์„œ ์„ค์ •ํ•ด ์ค˜์•ผํ•˜๋Š” ๊ฒƒ๋“ค์ด ์žˆ์–ด ์„œ๋ฒ„ ์„ค์ •ํ•˜๋Š” ๋ถ€๋ถ„์ด ์ค‘์š”ํ•˜๋‹ค. ์„œ๋ฒ„ ์„ค์ •๋งŒ ์ž˜ ๋˜์žˆ๋‹ค๋ฉด, Client ์ชฝ ์†Œ์Šค๋Š” ๋ณ„๊ฒŒ ์—†๋‹ค.

    ์ค‘์š”ํ•œ ๊ฑด ํ˜•ํƒœ์†Œ ๋ถ„์„๊ธฐ....

    Andrew Gatenby uses
    Sphinx

    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.

    The Independent uses
    Solr

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

    GadgetSteve uses
    Sphinx

    Generate beautiful documentation from version controlled inputs

    Blue Kangaroo uses
    Solr

    Personalized search engine (for content-based filtering)

    Blue Kangaroo uses
    Lucene

    High-performance text-based category classification.

    Satoru Ishikawa uses
    Solr

    ๆŸใƒ—ใƒญใƒ—ใƒฉใ‚คใ‚จใ‚ฟใƒชใชWebใ‚ขใƒ—ใƒชใ‚’ๅ‹•ใ‹ใ™ใฎใซๅฟ…่ฆใ ใฃใŸ(ใ‚คใƒณใ‚นใƒˆใƒผใƒซใจๆง‹็ฏ‰ใฎใฟ)

    SAP Hybris uses
    Solr

    standard hybris-commerce implementation

    PlushForums uses
    Sphinx

    Advanced full-text search.