Sequoia provides high availability and performance scalability for databases. It is is the continuation of the C-JDBC project. It provides transparent database clustering (partitioning, replication, etc.). It works with any Java application without code modification and with any database engine. It has been successfully tested with Tomcat, JBoss, JOnAS, WebSphere, MySQL, PostgreSQL, Apache Derby, HSQLDB, SAP DB, Oracle, DB2, Sybase, MS SQL Server, Firebird, and more.
iODBC is a cross-platform Driver Manager that comforms to the Microsoft ODBC 2.x & 3.x and X/Open SQL CLI data access specs. It enables the development of database-centric solutions that are both database and platform independent. This is a great SDK for porting WIN32-based ODBC applications to Linux and other OS platforms.
hk_classes is a set of C++ libraries for rapid development of database applications with all features a modern database application should have, like forms and reports. hk_classes is database and GUI independent. It also includes command line tools to use hk_classes in scripts. hk_classes includes drivers for DBase, Firebird, MS Access, MySQL, Paradox, PostgreSQL, ODBC, and SQLite.
ROOT is an OO framework for large-scale scientific data analysis and data mining. It contains an efficient hierarchical OO database, a C++ interpreter, advanced statistical analysis, visualization, introspection, documentation, networking, and GUI classes. The command/scripting language is C++, and large scripts can be compiled and dynamically linked in. Using the PROOF (Parallel ROOT Facility) extension, large databases can be analyzed in parallel. The system runs on all known POSIX platforms, Windows, and MacOS X.
QOF (Query Object Framework), provides a set of C Language utilities for performing generic structured complex queries on a set of data held by a set of C/C++ objects. This framework is unique in that it does not require SQL or any database at all to perform the query. Thus, it allows programmers to add query support to their applications without having to hook into an SQL database.
Itzam is an embedded database engine that creates and manipulates files containing keyed-access records. Information is referenced by a user-defined key value, and one or more indexes (hash, B-tree, or matrix) may be combined with or separated from data. Itzam is deliberately portable and designed as a foundation for other languages (C++, Python, and Java).
Tokyo Cabinet is a library of routines for managing a database. It is the successor of QDBM. Tokyo Cabinet runs very fast. For example, the time required to store 1 million records is 1.5 seconds for a hash database and 2.2 seconds for a B+ tree database. Moreover, the database size is very small. For example, the overhead for a record is 16 bytes for a hash database, and 5 bytes for a B+ tree database. Furthermore, the scalability of Tokyo Cabinet is great. The database size can be up to 8EB.