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ArangoSearch

7
6
+ 1
0
Sphinx

825
297
+ 1
32
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Sphinx vs ArangoSearch: What are the differences?

Developers describe Sphinx as "Open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind". 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. On the other hand, ArangoSearch is detailed as "Full-text search engine including similarity ranking 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..

Sphinx and ArangoSearch can be primarily classified as "Search Engines" tools.

Some of the features offered by Sphinx are:

  • Output formats: HTML (including Windows HTML Help), LaTeX (for printable PDF versions), ePub, Texinfo, manual pages, plain text
  • Extensive cross-references: semantic markup and automatic links for functions, classes, citations, glossary terms and similar pieces of information
  • Hierarchical structure: easy definition of a document tree, with automatic links to siblings, parents and children

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

  • Complex Searches with Boolean Operators
  • Relevance-Based Matching
  • Phrase and Prefix Matching
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Pros of ArangoSearch
Pros of Sphinx
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    • 16
      Fast
    • 9
      Simple deployment
    • 6
      Open source
    • 1
      Lots of extentions

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    What is ArangoSearch?

    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.

    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 — or index and search data on the fly, working with it pretty much as with a database server.

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

    What companies use ArangoSearch?
    What companies use Sphinx?
    See which teams inside your own company are using ArangoSearch or Sphinx.
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    What tools integrate with ArangoSearch?
    What tools integrate with Sphinx?

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    What are some alternatives to ArangoSearch and Sphinx?
    ArangoDB
    A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
    Google
    Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.
    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.
    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.
    See all alternatives