Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. 
 
 Its feature include: 
 <ul>
	<li>Distributed and Highly Available Search Engine.
	<ul>
		<li>Each index is fully sharded with a configurable number of shards.</li>
		<li>Each shard can have one or more replicas.</li>
		<li>Read / Search operations performed on either one of the replica shard.</li>
	</ul></li>
	<li>Multi Tenant with Multi Types.
	<ul>
		<li>Support for more than one index.</li>
		<li>Support for more than one type per index.</li>
		<li>Index level configuration (number of shards, index storage, &#8230;).</li>
	</ul></li>
	<li>Various set of APIs
	<ul>
		<li>HTTP RESTful API</li>
		<li>Native Java API.</li>
		<li>All APIs perform automatic node operation rerouting.</li>
	</ul></li>
	<li>Document oriented
	<ul>
		<li>No need for upfront schema definition.</li>
		<li>Schema can be defined per type for customization of the indexing process.</li>
	</ul></li>
	<li>Reliable, Asynchronous Write Behind for long term persistency.</li>
	<li>(Near) Real Time Search.</li>
	<li>Built on top of Lucene
	<ul>
		<li>Each shard is a fully functional Lucene index</li>
		<li>All the power of Lucene easily exposed through simple configuration / plugins.</li>
	</ul></li>
	<li>Per operation consistency
	<ul>
		<li>Single document level operations are atomic, consistent, isolated and durable.</li>
	</ul></li>
</ul>

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. 

ElasticSearch - Distributed, RESTful search and analytics engine

OpenGrok is a fast and usable source code search and cross reference engine, written in Java. It helps you search, cross-reference and navigate your source tree. It can understand various program file formats and version control histories of many source code management systems.
 
It can search for full text, definitions, symbols, path and revision history, Search query with Google like syntax, incrementally update its index. i.e update only the changed files since last time it was updated. It also provides a read-only web interface for version control systems like Mercurial, CVS, SVN, SCCS or TeamWare.

OpenGrok is a fast and usable source code search and cross reference engine, written in Java. It helps you search, cross-reference and navigate your source tree. It can understand various program file formats and version control histories of many source code management systems.

OpenGrok - Fast and usable source code search and cross reference engine, written in Java

Usergrid is an open-source Backend-as-a-Service (“BaaS” or “mBaaS”) composed of an integrated distributed NoSQL database, application layer and client tier with SDKs for developers looking to rapidly build web and/or mobile applications. It provides elementary services (user registration & management, data storage, file storage, queues) and retrieval features (full text search, geolocation search, joins) to power common app features.
 
It is a multi-tenant system designed for deployment to public cloud environments (such as Amazon Web Services, Rackspace, etc.) or to run on traditional server infrastructures so that anyone can run their own private BaaS deployment. For architects and back-end teams, it aims to provide a distributed, easily extendable, operationally predictable and highly scalable solution. For front-end developers, it aims to simplify the development process by enabling them to rapidly build and operate mobile and web applications without requiring backend expertise.

Usergrid is an open-source Backend-as-a-Service (“BaaS” or “mBaaS”) composed of an integrated distributed NoSQL database, application layer and client tier with SDKs for developers looking to rapidly build web and/or mobile applications. It provides elementary services (user registration & management, data storage, file storage, queues) and retrieval features (full text search, geolocation search, joins) to power common app features.

Usergrid - The BaaS Framework you run

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. Solr is written in Java and runs as a standalone full-text search server within a servlet container such as Tomcat. Solr uses the Lucene Java search library at its core for full-text indexing and search, and has REST-like HTTP/XML and JSON APIs that make it easy to use from virtually any programming language. Solr's powerful external configuration allows it to be tailored to almost any type of application without Java coding, and it has an extensive plugin architecture when more advanced customization is required. Its feature set include Rich Document Parsing and Indexing (PDF, Word, HTML, etc) using Apache Tika, An Administration Interface, Monitorable Logging, Fast Incremental Updates and Index Replication, Highly Scalable Distributed search with sharded index across multiple hosts, HTTP interface with configurable response formats (XML/XSLT, JSON, Python, Ruby, PHP, Velocity) Solrj is embedded solr. It provides Java based API and it takes care of constructing, parsing, sending and receiving HTTP request.

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. 

Solr - Blazing-fast, open source enterprise search platform

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. 
 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

Lucene is most popular and java based searchengine library. It offers near real time search. Its features include Ranked search, many powerful query types: phrase queries, wildcard queries, proximity queries, range queries and more, fielded searching (e.g., title, author, contents), date-range searching, sorting by any field , multiple-index searching with merged results , allows simultaneous update and searching. 

Apache Lucene is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform.

Lucene - A high-performance, full-featured text search engine library

OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, OpenSearch, and a visualization and user interface, OpenSearch Dashboards. OpenSearch enables people to easily ingest, secure, search, aggregate, view, and analyze data. These capabilities are popular for use cases such as application search, log analytics, and more.
 
Its features include: 
<ul><li>Log analytics</li><li> Real-time application monitoring</li><li> Clickstream analytics</li><li>Use SQL or a piped processing language to query your data</li><li>Automate index operations</li><li>Monitor and optimize your cluster</li><li>Run search requests in the background</li><li>KNN- Find “nearest neighbors” in your vector data</li><li>Authentication and access control for your cluster</li><li>Anomaly Detection</li></ul>

OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, OpenSearch, and a visualization and user interface, OpenSearch Dashboards. OpenSearch enables people to easily ingest, secure, search, aggregate, view, and analyze data. These capabilities are popular for use cases such as application search, log analytics, and more.

OpenSearch - Open source distributed and RESTful search engine

Summa is a fast modular and scalable search engine written in Java. Summa is characterized by: 
 <ul><li>Integrated search. Summa can simultaneously access a number of different data and data sources and expose it in a unified interface.</li><li>Modular design. The Summa search system consists of a set of independent modules, which makes it simple and easy to maintain and upgrade.</li><li>Scalable. Summa supports a distributed architecture and can be scaled up or down to handle any amount of data.</li><li>Open standards. Summa is based upon modern web technologies and standards, and don’t include any proprietary codes or elements.</li><li>Failure tolerant. If a single source of data or service should fail, Summa will continue without that specific source.</li></ul>

Summa is a fast modular and scalable search engine written in Java. Sports a flexible workflow system and incremental indexing and facetting. Summa is primarily developed by the State and University Library of Denmark.

Summa

Constellio Open Source Enterprise Search is based on Apache Solr and using Google Search Appliances connectors architecture, it allows, with a single click, to find all relevant content in your organization (Web, email, ECM, CRM etc.). 

 It supports Federated search, Using the single interface data in the organization could be discovered or searched. It provides multi-lingual search. Support for more than 15 languages are available. It has support of automatic document classification, adding tags or keywords to the documents. Additional to that this product has all kind of feature a Enterprise Search engine should have. It supports reporting on indexing and search, Sort results, Synonyms search, Thesaurus support, Auto complete, Facet etc. Constellio can index SharePoint sites, Documentum, FileNet, LiveLink. 

 Google's Enterprise Connector Manager provides support to retrieve data from different sources like database, file system, CRM, Email etc. Data from database could be retrieved using <A HREF="http://code.google.com/p/google-enterprise-connector-database/" target="_blank">Database connector</A>. This product most efficiently using this and retrieves the data from different sources. It uses Apache Solr to index the content. 

 Constellio's secure web interface will allow you to search your email and access attached files. It also provides API support in Ruby, PHP, Java, Python, JSon, C#, ColdFusion. Google's Enterprise Connector used in Google Search Appliance is constantly adding more connectors to retrieve data from different sources. Since Constellio uses this more Enterprise search support will be provided.

Constellio Open Source Enterprise Search is based on Apache Solr and using Google Search Appliances connectors architecture, it allows, with a single click, to find all relevant content in your organization (Web, email, ECM, CRM etc.).

Constellio - Enterprise Search engine

MG4J (Managing Gigabytes for Java) is a free full-text search engine for large document collections written in Java. MG4J is a highly customisable, high-performance, full-fledged search engine providing state-of-the-art features (such as BM25/BM25F scoring) and new research algorithms. The main points of MG4J are Powerful indexing, Multi-index interval semantics, Virtual fields, Clustering and lot more. Release 5.0 has several source and binary incompatibilities, and introduces quasi-succinct indices.

MG4J (Managing Gigabytes for Java) is a free full-text search engine for large document collections written in Java. MG4J is a highly customisable, high-performance, full-fledged search engine providing state-of-the-art features (such as BM25/BM25F scoring) and new research algorithms. The main points of MG4J are Powerful indexing, Multi-index interval semantics, Virtual fields, Clustering and lot more. 

MG4J - Managing Gigabytes for Java

Terrier is a highly flexible, efficient, and effective open source search engine, readily deployable on large-scale collections of documents. Terrier implements state-of-the-art indexing and retrieval functionalities, and provides an ideal platform for the rapid development and evaluation of large-scale retrieval applications. Terrier can index large corpora of documents, and provides multiple indexing strategies, such as multi-pass, single-pass and large-scale MapReduce indexing.

Terrier - Information Retrieval Platform

The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software. The project is best known for its Indri search engine, Lemur Toolbar, and ClueWeb09 dataset. 

Lemur - Search Engine

Norconex HTTP Collector is a full-featured web crawler (or spider) that can manipulate and store collected data into a repositoriy of your choice (e.g. a search engine). It very flexible, powerful, easy to extend, and portable.

Norconex HTTP Collector - Enterprise Web Crawler

Nutch is open source web-search software. It builds on Lucene Java, adding web-specifics, such as a crawler, a link-graph database, parsers for HTML and other document formats, etc. Its main feature include
 <UL>
	<LI>Fetching, parsing and indexation in parallel and distributed</LI>
	<LI>Plugin support</LI>
	<LI>Ontology</LI>
	<LI>Clustering</LI>
	<LI>Distributed filesystem (via Hadoop)</LI>
	<LI>Link-graph database</LI>
	<LI>NTLM authentication</LI>
	<LI>MapReduce</LI>
	<LI>Many formats: plain text, HTML, XML, ZIP, OpenDocument (OpenOffice.org), Microsoft Office (Word, Excel, Powerpoint), PDF, JavaScript, RSS, RTF, MP3 (ID3 tags)</LI>
 </UL>

Nutch is open source web-search software. It builds on Lucene Java, adding web-specifics, such as a crawler, a link-graph database, parsers for HTML and other document formats, etc.

Nutch - Highly extensible, highly scalable Web crawler

BaasBox is an Open Source project that aims to provide a backend for mobile and web apps. It helps to manage the content, A document belongs to a Collection. It can create, read, update and delete a document, provided user have access to it. Additional to that it has support for File management, Backup and Restore, API access control, User and Profile management and lot more.

BaasBox - Backend for Mobile and Web Application

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