OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines. 
 Source code location: <A HREF="http://code.google.com/p/orient/" target="_blank">http://code.google.com/p/orient/</A>

OrientDB has the flexibility of the Document databases and the power of the Graph databases to manage relationships. It can work in schema-less mode, schema-full or a mix of both. It can store up to 150,000 records per second on common hardware. OrientDB has been designed to be very fast. It inherits the best features and concepts from the Object Databases, Graph DBMS and the modern NoSQL engines.

OrientDB - The NoSQL Graph-Document DBMS

MongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems. MongoDB runs well on Amazon EC2. MongoDB uses BSON as the data storage and network transfer format for "documents". BSON is a binary encoded serialization of JSON-like documents. MongoDB could be accessed from programming language C, C++, Java, PHP, Python and Ruby. 
 It supports: 
 <UL>
	<LI>DBA operations from the shell</LI>
	<LI>Sharding</LI>
	<LI>Replication</LI>
	<LI>Security</LI>
	<LI>Backup</LI>
	<LI>Database Profiler</LI>
	<LI>Full Text Search</LI> 
 </UL>

MongoDB (from "humongous") is a scalable, high-performance, open source, dynamic-schema, document-oriented database. MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems.

MongoDB - NoSQL Document Store Database

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

Apache CouchDB is a document-oriented database that can be queried and indexed in a MapReduce fashion using JavaScript. CouchDB also offers incremental replication with bi-directional conflict detection and resolution. CouchDB provides a RESTful JSON API than can be accessed from any environment that allows HTTP requests. There are myriad third-party client libraries that make this even easier from your programming language of choice. CouchDB’s built in Web administration console speaks directly to the database using HTTP requests issued from your browser.

Apache CouchDB is a document-oriented database that can be queried and indexed in a MapReduce fashion using JavaScript. CouchDB also offers incremental replication with bi-directional conflict detection and resolution.

CouchDB - A Database for the Web

TinyDB is a lightweight document oriented database optimized for your happiness. It's written in pure Python and has no external dependencies. The target are small apps that would be blown away by a SQL-DB or an external database server. TinyDB neither needs an external server nor any dependencies from PyPI. You can easily extend TinyDB by writing new storages or modify the behaviour of storages with Middlewares.

TinyDB - Lightweight Document Oriented Database

Discover open source projects across all platforms

Projects

OrientDB - The NoSQL Graph-Document DBMS

MongoDB - NoSQL Document Store Database

ElasticSearch - Distributed, RESTful search and analytics engine

CouchDB - A Database for the Web

TinyDB - Lightweight Document Oriented Database

TechStack

Tagcloud

License

Suggested keywords:

Projects

OrientDB - The NoSQL Graph-Document DBMS

MongoDB - NoSQL Document Store Database

ElasticSearch - Distributed, RESTful search and analytics engine

CouchDB - A Database for the Web

TinyDB - Lightweight Document Oriented Database

TechStack

Tagcloud

License