db4o open source object database, native to Java and .NET. Its power comes from allowing arbitrarily complex, application defined, class models to also represent your database schema. 
	
 <UL>
	<LI>Support for Mobile</LI> 
	<LI>First embedded DB to support LINQ</LI>
	<LI>Full support for Compact Framework plus Sync capabilities</LI>
	<LI>Compatible with ADO.NET DataServices API</LI>
	<LI>Object persistence out-of-the-box</LI> 
	<LI>Free Object Manager plugin for DB exploration (OME)</LI> 
	<LI>No schema mapping complexity</LI>
	<LI>Zero Administration</LI>
	<LI>Replication</LI>
	<LI>Embeddable</LI>
	<LI>Native Queries</LI>
 </UL>

db4o open source object database, native to Java and .NET.

db4o

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. 
 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

BaseX is a light-weight, high-performance and scalable XML Database engine and XPath/XQuery 3.0 Processor, which includes full support for the W3C Update and Full Text extensions. An interactive and user-friendly GUI frontend gives you great insight into your XML documents. It is a High-performance database storage with text, attribute, full-text and path indexes.

Basex - Processing and Visualizing XML with a native XML Database

Cloudata is Distributed Large scale Structured Data Storage, and open source project implementing Google's Bigtable. It's DBMS(Database Management System), but not Relational DBMS. It can store more than Peta bytes.

Cloudata - Structured Data Storage implementing Google's Bigtable.

Copycat is a fault-tolerant state machine replication framework. Built on the Raft consensus algorithm, it handles replication and persistence and enforces strict ordering of inputs and outputs, allowing developers to focus on single-threaded application logic. Its event-driven model allows for efficient client communication with replicated state machines, from simple key-value stores to wait-free locks and leader elections. You supply the state machine and Copycat takes care of the rest, making it easy to build robust, safe distributed systems.


Copycat - A novel implementation of the Raft consensus algorithm

A zero configuration, non-distributed NoSQL key-value store that runs in any Servlet 3.0 compatible container. With Havalo, simply drop havalo.war into your favorite Servlet 3.0 compatible container and with almost no configuration you'll have access to a fast and lightweight K,V store backed by any local mount point for persistent storage.

Havalo - Non Distributed NoSQL Key Value Store

Elassandra is a fork of Elasticsearch modified to run as a plugin for Apache Cassandra in a scalable and resilient peer-to-peer architecture. Elasticsearch code is embedded in Cassanda nodes providing advanced search features on Cassandra tables and Cassandra serve as an Elasticsearch data and configuration store. It supports Cassandra vnodes and scales horizontally by adding more nodes.
 
Elassandra supports Full-text search, Spatial search, Real-time aggregation on your Cassandra data. Elassandra is a sharded multi-master database, where Elasticsearch is sharded master-slave, Thus, Elassandra has no Single Point Of Write, helping to achieve high availability.

Elassandra is a fork of Elasticsearch modified to run as a plugin for Apache Cassandra in a scalable and resilient peer-to-peer architecture. Elasticsearch code is embedded in Cassanda nodes providing advanced search features on Cassandra tables and Cassandra serve as an Elasticsearch data and configuration store. It supports Cassandra vnodes and scales horizontally by adding more nodes.

Elassandra - Elasticsearch + Apache Cassandra

Timely is a time series database application that provides secure access to time series data. Timely is written in Java and designed to work with Apache Accumulo and Grafana. 

Timely - Accumulo backed time series database

BlobCity DB is an All-in-One Database. It offers support for natively storing 17 different formats of data, including JSON, XML, CSV, PDF, Word, Excel, Log, GIS, Image amongst others. It run two full feature storage engines. One that stores data in memory and the other that stores data on disk. In-memory storage offers sheer performance for real-time analytics, while the disk storage make BlobCity an excellent alternative for DataLakes.


BlobCity - A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data

InfoGrid is a Web Graph Database with a many additional software components that make the development of REST-ful web applications on a graph foundation easy. GraphDatabase is the heart of InfoGrid. Graph database could be replicated across servers. It provides an common interface to store data either in file system or relational or non-relational database.

Infogrid - Web Graph Database

EyeDB is an Object Oriented Database Management System (OODBMS) providing an advanced object model (inheritance, collections, arrays, methods, triggers, constraints), an object definition language, an object query language and C++ and Java bindings.

EyeDB - Object Oriented Database Management System

ConcourseDB is a distributed self-tuning database with automatic indexing, version control and ACID transactions. ConcourseDB provides a more intuitive approach to data management that is easy to deploy, access and scale while maintaining the strong consistency of traditional database systems.

ConcourseDB  - Self-tuning database designed for both transactions and ad hoc analytics across time

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more). 
 
AsterixDB can exploit its knowledge of data partitioning and the availability of indexes to avoid always scanning data set(s) to process queries

AsterixDB is a BDMS (Big Data Management System) with a rich feature set that sets it apart from other Big Data platforms. Its feature set makes it well-suited to modern needs such as web data warehousing and social data storage and analysis. It is a highly scalable data management system that can store, index, and manage semi-structured data, but it also supports a full-power query language with the expressiveness of SQL (and more). 

AsterixDB -  Big Data Management System (BDMS)

Bio4j is a bioinformatics graph based DB including most data available in Uniprot KB (SwissProt + Trembl), Gene Ontology (GO), UniRef (50,90,100), RefSeq, NCBI Taxonomy, and Expasy Enzyme DB.
Bio4j provides a completely new and powerful framework for protein related information querying and management. Since it relies on a  high-performance graph engine, data is stored in a way that semantically represents its own structure. 

Bio4j - Bioinformatics Graph based DB

ToroDB helps to transform your NoSQL data from a MongoDB replica set into a relational database in PostgreSQL. There are other solutions that are able to store the JSON document in a relational table using PostgreSQL JSON support, but it doesn't solve the real problem of 'how to really use that data'. ToroDB Stampede replicates the document structure in different relational tables and stores the document data in different tuples using those tables.
 
MongoDB is a great idea, but sooner or later some kind of business intelligence, or complex aggregated queries are required. At this point MongoDB is not so powerful and ToroDB Stampede borns to solve that problem.

ToroDB helps to transform your NoSQL data from a MongoDB replica set into a relational database in PostgreSQL. There are other solutions that are able to store the JSON document in a relational table using PostgreSQL JSON support, but it doesn't solve the real problem of 'how to really use that data'. ToroDB Stampede replicates the document structure in different relational tables and stores the document data in different tuples using those tables.


ToroDB Stampede - Provides better analytics on top of MongoDB and make it easier to migrate from MongoDB to SQL 

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