TypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level as opposed to join-tables, columns, documents, vertices, edges, and properties.
 
TypeDB allows you to model your domain using the well-known Entity-Relationship model. It is composed of entity types, relation types, and attribute types, with the introduction of role types. TypeDB allows you to leverage the full expressivity of the ER model, and describe your schema through first normal form.
 
Types provide a way to describe the logical structures of your data, allowing TypeDB to validate that your code inserts and queries data correctly. Query validation goes beyond static type-checking, and includes logical validation of meaningless queries. With strict type-checking errors, you have a dataset that you can trust.
 
TypeDB encodes your data for logical interpretation by a reasoning engine. It enables type-inference and rule-inference, which create logical abstractions of data. This allows the discovery of facts and patterns that would otherwise be too hard to find; and complex queries become much simpler.
 
TypeDB's API is provided through a gRPC client, providing bi-directional streaming, compression, and strong message typing, that REST APIs could not provide. TypeDB Clients are delivered as libraries in dedicated languages that provide stateful objects, Session and Transactions, for you to interact with the database programmatically.

TypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level as opposed to join-tables, columns, documents, vertices, edges, and properties.

TypeDB - A strongly-typed database

Java DB is Sun's supported distribution of the open source Apache Derby 100% Java technology database. It is fully transactional, secure, easy-to-use, standards-based — SQL, JDBC API, and Java EE — yet small, only 2.5 MB. Java DB technology adheres to the JDBC and ANSI/ISO SQL standards. This means Java DB provides the functionality expected of a sophisticated relational database, including SQL syntax, transaction management, concurrency, triggers, and backups. It also means that it is easy to migrate an application using Java DB to and from other standards-based databases, such as PostgreSQL, Oracle and DB2. Java DB provides a number of security mechanisms including database file encryption, authentication through either external LDAP directory or built-in repository, and authorization. In addition, access to the database can also be controlled at read-only or read-write level. Java DB allows users to define triggers to ensure referential integrity. It also supports Java stored procedures and functions. It is Embeddable.

Java DB is Sun's supported distribution of the open source Apache Derby 100% Java technology database. It is fully transactional, secure, easy-to-use, standards-based — SQL, JDBC API, and Java EE — yet small, only 2.5 MB.

JavaDB

HyperSQL supports the widest range of SQL Standard features seen in any open source database engine. It offers a small, fast database engine which offers in-memory and disk-based tables and supports embedded and server modes. 
 Its major feature include: 
 <UL>
	<LI>Java stored procedures and functions</LI>
	<LI>Java triggers</LI>
	<LI>Extensive JDBC interface support </LI>
	<LI>Persistence</LI>
	<LI>Embedded (into Java applications) and Client-Server operating modes</LI>
	<LI>Multiple databases per JVM </LI>
	<LI>ODBC support</LI>
	<LI>simple GUI database management tools</LI>
 </UL>
 Commercial support is available.

HyperSQL supports the widest range of SQL Standard features seen in any open source database engine. It offers a small, fast database engine which offers in-memory and disk-based tables and supports embedded and server modes. It is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2008. It alsi supports transaction isolation, multiversion concurrency and ACID, Java stored procedures, Scalability and lot more.

HyperSQL - Java Database

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

LucidDB is the RDBMS built entirely for data warehousing and business intelligence. It is based on architectural cornerstones such as column-store, bitmap indexing, hash join/aggregation, and page-level multiversioning. Every component of LucidDB was designed with the requirements of flexible, high-performance data integration and sophisticated query processing in mind. 

 Rather than throwing hardware at data warehousing problems by relying on expensive clusters or specialized "appliances", the scalability offered by LucidDB's unique architecture allows you to achieve great performance using only a single off-the-shelf Linux or Windows server. Besides keeping costs down, this also minimizes maintenance and administration hassles. 
 <UL>
	<LI>Support of both 32 and 64 bit platforms</LI>
	<LI>Integrated with Pentaho Business Intelligence product</LI>
	<LI>Automatically adapts to either bitmap or btree representation depending on data distribution</LI>
	<LI>Versioning at page-level is much more efficient than transactional databases</LI>
	<LI>Supports incremental backup</LI>
	<LI>High performance and greater cache and disk effectiveness</LI>
	<LI>Allows flat files (e.g. BCP or CSV format) to be queried as foreign tables via LucidDB</LI>
 </UL>

LucidDB is the RDBMS built entirely for data warehousing and business intelligence. It is based on architectural cornerstones such as column-store, bitmap indexing, hash join/aggregation, and page-level multi versioning. Every component of LucidDB was designed with the requirements of flexible, high-performance data integration and sophisticated query processing in mind.

LucidDB - RDBMS built entirely for Data Warehousing and Business Intelligence

VoltDB was specifically designed for contemporary software applications that are pushed beyond their limits by high volume data sources. VoltDB provides the ability to capture, store and process incoming data at millions of read/write operations per second. And VoltDB’s relational model opens that data to be analyzed in real-time, using familiar Business Intelligence tools, to identify data patterns and trends, spot anomalies, or perform tracking and alerting. In addition to supporting real-time analytics, VoltDB seamlessly integrates with data warehousing and Hadoop infrastructures, feeding data to those environments for deep analytical exploration. Large database gets automatically sharded to multiple nodes, basically it supports database to scale out. VoltDB implements HA using K-Safety, a configurable, active-active durability model for high performance distributed systems. Client connectors are available in languages like Java, C++, Python, PHP, HTTP/JSON, Ruby and Erlang.

VoltDB was specifically designed for contemporary software applications that are pushed beyond their limits by high volume data sources. VoltDB provides the ability to capture, store and process incoming data at millions of read/write operations per second. And VoltDB’s relational model opens that data to be analyzed in real-time, using familiar Business Intelligence tools, to identify data patterns and trends, spot anomalies, or perform tracking and alerting.

VoltDB - Fast Scalable SQL DBMS with ACID

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TypeDB - A strongly-typed database

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