ArangoSearch vs Lucene
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. | It is a C++ based full-text search engine including similarity ranking capabilities natively integrated into ArangoDB. It allows users to combine two information retrieval techniques: boolean and generalized ranking retrieval. Search results “approved” by the boolean model can be ranked by relevance to the respective query using the Vector Space Model in conjunction with BM25 or TFIDF weighting schemes. |
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) | Complex Searches with Boolean Operators;
Relevance-Based Matching;
Phrase and Prefix Matching;
Relevance Tuning on Query-Time;
Full combinability of search queries with all supported data models & access patterns;
Scalability |
Statistics | |
Stacks 175 | Stacks 7 |
Followers 230 | Followers 6 |
Votes 2 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Lucene, ArangoSearch?
Sphinx
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Searchkick
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Apache Solr
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Qdrant
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Weaviate
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AddSearch
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Carrot2
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