Displaying 1 to 9 from 9 results

Solr - Blazing-fast, open source enterprise search platform

  •    Java

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, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.

IndexTank - Search Engine powers Reddit

  •    Java

IndexTank search engine powers search in Reddit, Social bookmarking site. IndexTank is acquired by LinkedIn and released the project as open source. It includes features like Variables boosts, Facets, Faceted search, Snippeting, Custom scoring functions, Suggest, and Autocomplete.

YaCy - Decentralized Web Search

  •    Java

YaCy (read "ya see") is a free distributed search engine, built on principles of peer-to-peer (P2P) networks. It is distributed on several hundred computers so-called YaCy-peers. Each YaCy-peer independently crawls through the Internet, analyzes and indexes found web pages, and stores indexing results in a common database which is shared with other YaCy-peers using principles of P2P networks.

Gigablast - Web and Enterprise search engine in C++

  •    C++

Gigablast is one of the remaining four search engines in the United States that maintains its own searchable index of over a billion pages. It is scalable to thousands of servers. Has scaled to over 12 billion web pages on over 200 servers. It supports Distributed web crawler, Document conversion, Automated data corruption detection and repair, Can cluster results from same site, Synonym search, Spell checker and lot more.




LuMongo - Realtime Time Distributed Search

  •    Java

LuMongo is a real-time distributed search and storage system based on Lucene. LuMongo is designed from the ground up to scale both vertically and horizontally across servers. LuMongo stores Lucene indexes directly into MongoDB. Documents can be stored natively into MongoDB. When stored natively document can be queried as normal out of MongoDB and use of Map-Reduce and the Aggregation Framework is possible.

compass - Searchengine built on top of Lucene

  •    Java

Compass is a real time searchengine. It is built on top of lucene. It is transactional, distributed, supports Spring MVC, integrates with Hibernate.

SenseiDB - Distributed, Realtime, Semi-Structured Database from LinkedIn

  •    Java

Sensei is a distributed data system that was built to support many product initiatives at LinkedIn, including the real-time faceted search in LinkedIn Signal and the news feed and tabs on the Homepage. Sensei is both a search engine and a database. It is designed to query and navigate through documents that consist of unstructured text and well-formed and structured metadata. Sensei is both a search engine and a database.

Bobo - Faceted search library based on Lucene

  •    Java

Bobo Browse is an information retrieval technology that provides navigational browsing into a semi-structured dataset. Beyond the result set from queries and selections, Bobo Browse also provides the facets from this point of browsing. It provides support to sort documents on fields that have multiple values. It is stable and used by LinkedIn.


PeARS-orchard - This is the decentralised version of PeARS, the people's search engine, to be taken as Phase 1 of the fully distributed system

  •    HTML

PeARS (version Orchard) is a search engine that you can install and run locally from your browser. It allows you to 'index' pages (i.e. to produce a computer-readable representation of the pages' content, essential to the search process), and to search pages that you or your friends have indexed. Search happens entirely on your machine, meaning that no one knows what you are searching and when. One feature of PeARS Orchard is the ability to convert a small index into a greyish, unassuming picture, called a 'snow pod'. Snow pods are the mini-weapons of the indexing revolution. They can easily be shared with others by email, on social media, or through any other mean, so you can be your very own search engine, for yourself and for your friends.





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