8 projects tagged "Windows"
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.
StelsCSV is a JDBC driver that allows performing SQL statements and other JDBC operations upon text files (comma separated, tab-separated, fixed length, etc.). Using this driver, users can easily create a simple database consisting of plain text files. The driver can be used for writing data importing programs and migration tools. It supports most keywords of ANSI SQL92, table joins, INSERT, UPDATE, and DELETE statements, data types, aggregate, converting, string, and user-defined SQL functions.
StelsEngine is a fast in-memory SQL engine (in-memory JDBC) for storing and processing tabular data in Java applications. Using StelsEngine, you can make processing data in your software considerably easier and quicker. It implements the JDBC API standard. It is a JDBC Type 4 driver, supports most keywords of ANSI SQL 92, supports integer, floating point, string, date/time, and Java object data types, supports aggregate, numeric, string, conversion, and user-defined SQL functions, supports data loading from a DBMS, and is platform independent.
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.
i-net KONNEKTER is a new type of JDBC driver. It allows you to develop an applet or server application that supports different DBMS. It enables remote access to JDBC drivers. You can use it with MS SQL Server, Oracle, DB2, Sybase, MySQL, PostgreSQL, Informix, ODBC, MS Access, and many other databases.