H2 database is very fast, open source database engine. 
 It supports : 
 <UL>
	<LI>It supports SQL and JDBC standards</LI>
	<LI>Encrypted database</LI> 
	<LI>Security and Authentication</LI>
	<LI>Multiple index types (b-tree, tree, hash)</LI> 
	<LI>Contains a recovery tool that can dump the contents of the database</LI> 
	<LI>Clustering</LI>
	<LI>Full text search</LI>
	<LI>Temporary Tables</LI> 
	<LI>User-Defined Datatypes</LI>
 </UL>

H2 database is very fast, open source database engine. It supports SQL and JDBC standards. It can run in Embedded and Server mode and it has clustering support.  


H2 Database - Java based Database Engine

ActorDB is ideal as a server side database for apps. Think of running a large mail service, dropbox, evernote, etc. They all require server side storage for user data, but the vast majority of queries is within a specific user. With many users, the server side database can get very large. Using ActorDB you can keep a full relational database for every user and not be forced into painful scaling strategies that require you to throw away everything that makes relational databases good.
 
ActorDB is
<ul>
<li>A distributed relational SQL database.</li>
<li>Consistent (not eventually consistent).</li>
<li>Distributed.</li>
<li>Redundant.</li>
<li>Massively concurrent.</li>
<li>No single point of failure.</li>
<li>ACID.</li>
<li>Connectable over MySQL protocol and <a href="https://github.com/biokoda/actordb/blob/master/adbt.thrift">Thrift</a>.</li>
<li>Replicated safely using the Raft distributed consensus algorithm.</li>
</ul>

ActorDB is ideal as a server side database for apps. Think of running a large mail service, dropbox, evernote, etc. They all require server side storage for user data, but the vast majority of queries is within a specific user. With many users, the server side database can get very large. Using ActorDB you can keep a full relational database for every user and not be forced into painful scaling strategies that require you to throw away everything that makes relational databases good.

ActorDB -  Distributed SQL database with linear scalability 

MonetDB is a high-performance applications in data mining, OLAP, GIS, XML Query, text and multimedia retrieval. MonetDB often achieves a significant speed improvement for SQL and XQuery over other open-source systems. MonetDB achieves its goal by innovations at all layers of a DBMS, e.g. a storage model based on vertical fragmentation, a modern CPU-tuned query execution architecture, automatic and self-tuning indexes, run-time query optimization, and a modular software architecture. Its major features include: 

 <UL>
	<LI>High-performance database management system</LI>
	<LI>Multi-model system</LI>
	<LI>Column-store based database kernel</LI>
	<LI>Broad spectrum database system</LI>
	<LI>Extendable database system</LI>
	<LI>Database back-end is multi-threaded and guards a single physical database instance</LI>
	<LI>Operations are cache- and memory-aware with supreme performance</LI>
	<LI>Index selection, creation and maintenance is automatic</LI>
	<LI>Connectivity is provided through TCP/IP sockets and SSH on many platforms</LI>
	<LI>Could be Embedded</LI>
	<LI>Programming interfaces available in all major languages</LI>
 </UL>

MonetDB is a high-performance SQL- and XQuery- column-store database management system with automatic index management, flexible optimizer infrastructure, and programmable backend functionality.

MonetDB

PumpkinDB is a event sourcing database engine that doesn't overwrite data. It features include Immutable key/value storage, ACID transactions, Binary keys and values (allows any encoding to be used: JSON, XML, Protobuf, Cap'n Proto, etc.), An embedded programming language (PumpkinScript), A range of event indexing and querying primitives.
 
The core ideas behind PumpkinDB stem from the so called lazy event sourcing approach which is based on storing and indexing events while delaying domain binding for as long as possible. That said, the intention of this database is to be a building block for different kinds of event sourcing systems, ranging from the classic one (using it as an event store) all the way to the lazy one (using indices) and anywhere in between. It's also possible to implement different approaches within a single database for different parts of the domain.

PumpkinDB is a event sourcing database engine that doesn't overwrite data. It features include Immutable key/value storage, ACID transactions, Binary keys and values (allows any encoding to be used: JSON, XML, Protobuf, Cap'n Proto, etc.), An embedded programming language (PumpkinScript), A range of event indexing and querying primitives.

PumpkinDB - Event Sourcing Database Engine

 SpatiaLite is an open source library intended to extend the SQLite core to support fully fledged Spatial SQL capabilities. SQLite is intrinsically simple and lightweight, It is a single lightweight library implementing the full SQL engine. SpatiaLite is smoothly integrated into SQLite to provide a complete and powerful Spatial DBMS (mostly OGC-SFS compliant). Using SQLite + SpatiaLite you can effectively deploy an alternative open source Spatial DBMS roughly equivalent to PostgreSQL + PostGIS. 

SpatiaLite - Spatial SQL

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H2 Database - Java based Database Engine

ActorDB - Distributed SQL database with linear scalability

MonetDB

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SpatiaLite - Spatial SQL

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H2 Database - Java based Database Engine

ActorDB - Distributed SQL database with linear scalability

MonetDB

PumpkinDB - Event Sourcing Database Engine

SpatiaLite - Spatial SQL

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