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ArangoSearch

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Sonic Server

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Sonic Server vs ArangoSearch: What are the differences?

Sonic Server: Fast, lightweight & schema-less search backend. A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds; ArangoSearch: 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..

Sonic Server and ArangoSearch belong to "Search Engines" category of the tech stack.

Some of the features offered by Sonic Server are:

  • Search terms are stored in collections, organized in buckets

- Search results return object identifiers

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

  • Complex Searches with Boolean Operators
  • Relevance-Based Matching
  • Phrase and Prefix Matching

Sonic Server is an open source tool with 8.35K GitHub stars and 252 GitHub forks. Here's a link to Sonic Server's open source repository on GitHub.

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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 Sonic Server?

A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds.

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What are some alternatives to ArangoSearch and Sonic Server?
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.
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.
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