Jodd is developer-friendly set of Java microframeworks, tools and utilities, under 1.7 MB. Build with common sense to make things simple, but not simpler. Its feature include slick IoC container, elegant MVC framework, unique AOP engine, thin DB-object mapper, standalone transaction manager, focused validation tool, versatile HTML parsers, pages decorator, super properties, powerful BeanUtil, timeless JDateTime, easy email, many super utilities... and more. 
Tools and utilities: 
<ul>
<li><code>jodd-core</code> contains many utilities, including <code>JDateTime</code>.</li>
<li><code>jodd-bean</code>, our infamous <code>BeanUtil</code>, type inspectors and converters.</li>
<li><code>jodd-props</code> is the super-replacement for Java <code>Properties</code>.</li>
<li><code>jodd-mail</code> for easier email sending.</li>
<li><code>jodd-upload</code>, handles HTTP uploads.</li>
<li><code>jodd-servlet</code> with many servlet utilities, including nice tag library.</li>
<li><code>jodd-http</code>, tiny HTTP client.</li>
</ul>
Micro-frameworks:

<ul>
<li><code>jodd-madvoc</code> - slick MVC framework.</li>
<li><code>jodd-petite</code> - pragmatic DI container.</li>
<li><code>jodd-lagarto</code> - HTML parser with <code>Jerry</code> and <code>CSSelly</code>.</li>
<li><code>jodd-decora</code> - pages decorator.</li>
<li><code>jodd-htmlstapler</code> - static page resources handler.</li>
<li><code>jodd-proxetta</code> - dynamic proxies and <code>Paramo</code>.</li>
<li><code>jodd-db</code> - thin database layer and object mapper.</li>
<li><code>jodd-json</code> - JSON parser and serializer.</li>
<li><code>jodd-vtor</code> - validation framework.</li>
<li><code>jodd-jtx</code> - transactions management.</li>
</ul>

Jodd is developer-friendly set of Java microframeworks, tools and utilities, under 1.7 MB. Build with common sense to make things simple, but not simpler. Its feature include slick IoC container, elegant MVC framework, unique AOP engine, thin DB-object mapper, standalone transaction manager, focused validation tool, versatile HTML parsers, pages decorator, super properties, powerful BeanUtil, timeless JDateTime, easy email, many super utilities... and more. 

Jodd - The Unbearable Lightness of Java

ObjectBox is a superfast object-oriented database with strong relation support. ObjectBox is embedded into your Android, Linux, macOS, or Windows app. ObjectBox is a mobile database built for objects from ground up (no ORM, no SQLite). The concise API is easy to learn and just takes a fraction of the code you need to work with SQLite. ACID properties and Multiversion Concurrency Control (MVCC) provide you with safe transactions and parallelism.

ObjectBox - Super fast database for Mobile and IoT

Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability. It is massively scalable to handle graphs of several billion nodes on a single machine. It has a powerful traversal framework for high-speed traversals in the node space. It can be deployed as a full server or a very slim database embedded database. 
Neo4j's high-performance distributed cluster architecture scales with your data needs, minimizing cost and hardware while maximizing performance across connected datasets. Neo4j enforces rigorous enterprise security rules while remaining easy to deploy and manage. Protections like “row-level” security in relational databases are not enough when using graphs. Organizations need fine-grained access control for mission-critical security and privacy.

Neo4j is a high-performance graph engine with all the features of a mature and robust database. It is a graph database, storing data in the nodes and relationships of a graph. It includes the usual database features like ACID transactions, durable persistence, concurrency control, transaction recovery, high availability.

Neo4j - Graph Database

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance. 

 Cassandra provides support for Scale out, load balancing, cluster growth, Flexible schema, Key-oriented queries and CAP theorem (Consistency, Availability, Partition tolerance). It is in use at Digg, Facebook, Twitter, Reddit, Rackspace, Cloudkick, Cisco and more companies.

The Apache Cassandra Project develops a highly scalable second-generation distributed database, bringing together Dynamo's fully distributed design and Bigtable's ColumnFamily-based data model. Cassandra is suitable for applications that can't afford to lose data. Data is automatically replicated to multiple nodes for fault-tolerance.

Cassandra - Scalable Distributed Database

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for Knowledge management, Artificial Intelligence and Semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. It could also be used as graph database or as (non-SQL) relational database. 

 A P2P framework for distributed processing has been implemented for replication/data partitioning algorithms as well as client-server style computing. While it falls into the general family of graph databases, it is hard to categorize HyperGraphDB as yet another database because much of its design evolves around providing the means to manage structure-rich information with arbitrary layers of complexity. 

 Source code location: <A HREF="http://code.google.com/p/hypergraphdb" target="_blank">http://code.google.com/p/hypergraphdb</A>

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly for Knowledge management, Artificial Intelligence and Semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. It could also be used as graph database or as (non-SQL) relational database.

HyperGraphDB - Database for Storing Strongly-Typed Hypergraphs

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

HBase provides support to handle BigTable - billions of rows X millions of columns. It is a scalable, distributed, versioned, column-oriented store modeled after Google's Bigtable and runs on top of HDFS (Hadoop Distributed Filesystem). It features compression, in-memory operation per-column. Data could be replicated between the nodes. HBase is used in Facebook and Twitter.

HBase -  Hadoop database

Realm is a mobile database that runs directly inside phones, tablets or wearables. This repository holds the source code for the Java version of Realm, which currently runs only on Android.
 
Its features include: 
<ul>
<li>Mobile-first: Realm is the first database built from the ground up to run directly inside phones, tablets and wearables.</li>
<li>Simple: Data is directly exposed as objects and queryable by code, removing the need for ORM's riddled with performance &amp; maintenance issues.</li>
<li>Modern: Realm supports easy thread-safety, relationships &amp; encryption.</li>
<li>Fast: Realm is faster than even raw SQLite on common operations, while maintaining an extremely rich feature set.</li>
</ul>

Realm is a mobile database that runs directly inside phones, tablets or wearables. This repository holds the source code for the Java version of Realm, which currently runs only on Android.

Realm - Mobile database, A replacement for SQLite & ORMs

SQLite JDBC is a library for accessing and creating SQLite database files in Java. The library requires no configuration since native libraries for major OSs, including Windows, Mac OS X, Linux etc., are assembled into a single JAR (Java Archive) file. 

Sqlite JDBC - SQLite JDBC Driver

QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.
 
QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection.

QuestDB is a high-performance, open-source SQL database for applications in financial services, IoT, machine learning, DevOps and observability. It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports.

QuestDB - Fast relational time-series database

Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Doris provides batch data loading and real-time mini-batch data loading. It provides high availability, reliability, fault tolerance, and scalability. Its original name was Palo, developed in Baidu. 
 
<ul><li>Uses MySQL protocol to communicate. Users can connect to Doris cluster through MySQL client or MySQL JDBC</li><li>Support standard SQL language, compatible with MySQL protocol</li><li>Vectorized SQL executor</li><li>Getting result of a query within one second</li><li>Rollup, novel pre-computation mechanism
</li><li>Effective data model for aggregation</li><li>High performance, high availability, high reliability</li><li>Easy for operation, Elastic data warehouse for big data</li></ul>

Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Doris provides batch data loading and real-time mini-batch data loading. It provides high availability, reliability, fault tolerance, and scalability. Its original name was Palo, developed in Baidu. 

Apache Doris -  A fast MPP database for all modern analytics on big data

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

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 
 
Access data from multiple systems within a single query. For example, join historic log data stored in an S3 object storage with customer data stored in a MySQL relational database.

Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low latency analytics. It is an ANSI SQL compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset and many others. It helps to natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. 

Trino - A query engine that runs at ludicrous speed

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

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