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. <BR>
  Homepage: <A HREF="http://indextank.com/" target="_blank">http://indextank.com/</A>

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.

IndexTank - Search Engine powers Reddit

Voldemort is a distributed key-value storage system. Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data. 
Server failure is handled transparently. It is used at LinkedIn for certain high-scalability storage problems where simple functional partitioning is not sufficient.

Project-voldemort - A distributed database, Clone of Amazon's Dynamo

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.

Bobo - Faceted search library based on Lucene

Sensei is a distributed data system that was built to support many product initiatives at LinkedIn, including the real-time faceted search in <A HREF="http://www.linkedin.com/signal/" target="_blank">LinkedIn Signal</A> 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.<BR><BR>
  It supports Fast realtime updates, Complex query language and REST/JSON api, Hadoop integration and lot more.

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.

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

Apache Samza is a distributed stream processing framework. It uses Apache Kafka for messaging, and Apache Hadoop YARN to provide fault tolerance, processor isolation, security, and resource management. It provides a very simple call-back based process message API that should be familiar to anyone who's used Map/Reduce. Samza was originally developed at LinkedIn. It's currently used to process tracking data, service log data, and for data ingestion pipelines for realtime services. 

Samza - Distributed Stream Processing Framework

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Projects

IndexTank - Search Engine powers Reddit

Project-voldemort - A distributed database, Clone of Amazon's Dynamo

Bobo - Faceted search library based on Lucene

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

Samza - Distributed Stream Processing Framework

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Projects

IndexTank - Search Engine powers Reddit

Project-voldemort - A distributed database, Clone of Amazon's Dynamo

Bobo - Faceted search library based on Lucene

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

Samza - Distributed Stream Processing Framework

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