CUBRID is a comprehensive relational database management system highly optimized for Web applications. CUBRID is fast and powerful. Its multi-process architecture and its multi-threaded server implementation scale very well as the data and the number of users grow. CUBRID has optimizations such as Click Counter feature and Fast Concurrent Insertions, which are designed for Web applications' high workloads. CUBRID is a reliable and feature-rich DBMS. The high availability (HA) and replication features can help you provide non-stop service. Query plan caching and query result caching allow your application to serve read-mostly queries with minimal server resource usage. It supports unlimited databases. As a relational database system, CUBRID provides seamless transactions even for your high-volume databases, regardless of the number and the size of your databases or tables.
Ingres is a feature rich and robust database (RDBMS) that's free to use, modify, and redistribute. Support is available for a reasonable price if you need it. Ingres supports many programming languages, including Python, Ruby, Java, Perl, C/C++, and more. Ingres has a bit of a learning curve, but once mastered is extremely powerful and highly tunable. It is also very stable and reliable. Ingres is one of a fairly small number of databases providing excellent geospatial features including data types and functions compliant with the Open Geospatial Consortium (OGC) Simple Feature Specification (SFS) for SQL.
The OODBMS/DBMS ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. This is an extension of the ODBMS concept according to ODMG 3. It provides a number of enhanced features based on natural language analysis. Beside the database kernel, a number of tools are provided for database design, documentation, and fast development. ODABA provides a powerful interface (C++, .NET) and an ODABA Script Interface (OSI), a C++/JAVA like scripting language, which provides easy access to the database.
SELTA@Etersoft enables programs that store data in MS SQL Server to work with PostgreSQL. It translates SQL queries from the T-SQL dialect (used in MS SQL Server) to pl/pqSQL (used by PostgreSQL). Though SELTA@Etersoft is universal, it needs improvement to support concrete applications. At the moment, the translator is oriented to the popular Russian accounting system «1С:Предприятие 7.7». If your application can store data only in MS SQL, and you want it to be compatible with PostrgreSQL, support for your application can be implemented.