A high-performance, full-featured text search engine library written entirely in Java
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.
Lucene is a tool in the Search Engines category of a tech stack.
Who Uses Lucene?
30 companies use Lucene including Twitter, Evernote, and Kifi.
Lucene integrates with
Why people like Lucene
Here’s a list of reasons why companies and developers use Lucene.
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Lucene's Features
- over 150GB/hour on modern hardware
- small RAM requirements -- only 1MB heap
- incremental indexing as fast as batch indexing
- index size roughly 20-30% the size of text indexed
- ranked searching -- best results returned first
- many powerful query types: phrase queries, wildcard queries, proximity queries, range queries
- fielded searching (e.g. title, author, contents)
- sorting by any field
- multiple-index searching with merged results
- allows simultaneous update and searching
- flexible faceting, highlighting, joins and result grouping
- fast, memory-efficient and typo-tolerant suggesters
- pluggable ranking models, including the Vector Space Model and Okapi BM25
- configurable storage engine (codecs)
Lucene's alternatives
- 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.
- Sphinx - Open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind
- Searchkick - Intelligent search made easy
