InfiniSQL is a distributed in-memory NewSQL relational database management system (RDBMS). It excels at performing complex transactions which involve records on multiple server nodes. It is engineered around the actor model of concurrent programming, which enables unique scalability capabilities.
RecDB is a recommendation engine built entirely inside PostgreSQL 9.2. It allows application developers to build recommendation applications using a wide variety of built-in recommendation algorithms such as user-user collaborative filtering, item-item collaborative filtering, and singular value decomposition. Applications powered by RecDB can produce online and flexible personalized recommendations to end-users. It is easily used and configured and allows novice developers to define a variety of recommenders that fits their application's needs in few lines of SQL. It can seamlessly integrate recommendation functionality with traditional database operations.
Vibur DBCP is a new, concurrent JDBC connection pool based on Java dynamic proxies. It is fast, has concise source code, and supports a fairness parameter, statement caching, SQL query logging, and many other features. Various configuration examples (with Spring, Hibernate, etc.) are provided.
Brimbox is a database system that was designed to bridge the gap between spreadsheets and custom databases. It is intended to be an alternative to Access and Filemaker. Although Brimbox has its own modular approach, it is customizable in the spirit of Wordpress, though it is a database interface and not a CMS.
Vedis is an embeddable datastore C library built with over 70 commands. It is similar in concept to Redis, but without the networking layer, since Vedis run in the same process of the host application. Unlike most other datastores (e.g. memcache, Redis), Vedis does not have a separate server process. It reads and writes directly to ordinary disk files. A complete database with multiple collections is contained in a single disk file. The database file format is cross-platform; you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures.
SqliteJdbcNG is a JDBC driver for SQLite. The overall goal of this project is to start a fresh implementation that leverages newly available technologies in the Java world. For example, any SQLite driver for any language must integrate with the native SQLite library. All of the current Java implementations rely on a custom JNI library to call out to the SQLite library. This extra layer can easily create a headache for the development and deployment of the driver, since it needs to be built for a variety of operating systems. Fortunately, there are technologies like Bridj and JNA that can be used to call native code directly from Java. By leaving the majority of the headaches of integrating with the native library to the Bridj project, more time can be spent on making a high quality driver that is more compliant with the JDBC4 spec.