db4o is an object database for Java and all .NET environments. Its features include ACID transactions, automatic class schema recognition, query-by-example, a S.O.D.A. object querying API, native queries, LINQ support on .NET, callback methods, memory files, cascade-on-delete, multi-threaded access, and Java Webstart and servlet support.
SPTK (Simply Powerful Toolkit) is a cross-platform toolkit that provides a set of C++ classes for fast and easy application development. It provides GUI components that use FLTK, and features database support with seamless connection to GUI components. There are drivers for use of SQLite and PostgreSQL directly, as well as support for other database engines through UnixODBC. SPTK includes many classes for working with strings, dynamic arrays, and maps, and is faster and has a smaller footprint than STL. It also supports reading, writing, and creating Excel 7 files, high-level GUI components with dataset support, support for automatic layouts, and support for Aspell.
Active Record connects business objects and database tables to create a persistable domain model where logic and data is presented in one wrapping. It’s an implementation of the object-relational mapping (ORM) pattern in which an object that wraps a row in a database table or view, encapsulates the database access, and adds domain logic on that data.
LiteSQL is a C++ library that integrates C++ objects tightly to a relational database and thus provides an object persistence layer. LiteSQL supports SQLite3, PostgreSQL, and MySQL as backends. LiteSQL creates tables, indexes, and sequences to database and upgrades schema when needed. In addition to object persistence, LiteSQL provides object relations which can be used to model any kind of C++ data structures. Objects can be selected, filtered, and ordered using a template- and class-based API with type checking at compile time.
ElegantJBeans Developer Collection is a large collection of ready-to-use 100% Java Beans. The collection has beans for every developer need, whether it's related to UI, data binding, validation, data access, communication, reporting, printing, data analysis, or data monitoring. These beans provide tested and proven code.
K.E.T.T.L.E (Kettle ETTL Environment) is a meta- data driven ETL (Extraction, Transformation, Transportation, and Loading) tool. This means that no code has to be written to perform complex data transformations. It is possible to create plugins to do custom transformations or access proprietary data sources. Kettle supports most databases on the market, and has native support for slowly changing dimensions on most database platforms.