@1 Data Sorting Tool grabs contents from a text-based data file and sorts the data before tabulating it into an HTML table. Visitors can click on the title fields to re-sort the table in acending or decending order. It works with MS Excel/Access data files or any other tab/pipe/colon-delimited text files, and supports unlimited tables and sub-user accounts.
@1 File Upload and Download Manager is a searchable flat text database manager for managing file uploading and downloading. It lets you define your own allowable file extensions and use your own icons. The default pre-defined extensions are pdf, zip, jpg, gif, png, doc, xls, mdb, ppt, txt, rm, mov, and wmv. File sizes and record dates are displayed in search results. The database can be categorized. The maximum file size allowed can be specified.
Amberfish is a general purpose text/XML retrieval utility. It features indexing of both free text and nested fields, built-in support for XML documents, structured queries allowing generalized field/tag paths, hierarchical result sets, automatic searching across multiple databases, efficient indexing, and relatively low memory requirements.
Berkeley DB XML is a native XML database engine for use within your product. Made available as a C++ library with language bindings for Java, Perl, Python, PHP, and Tcl, it integrates directly into your application (it is not a standalone database server). It provides XQuery access into a database of document containers. XML documents are stored and indexed in their native format using Berkeley DB as the transactional database engine.
CLIP is a Clipper/XBase compatible compiler with initial support other xBase dialects. It features support for international languages and character sets. It also features OOP, a multiplatform GUI based on GTK/GTKextra, all SIX/Comix features (including hypertext indexing), SQL and ODBC drivers, a C-API for third-party developers, a few wrappers for popular libraries (such as BZIP, GZIP, GD, Crypto, and Fcgi), a multitasking client and application server based on TCP/IP sockets, object data base utilities, and a functions library.
Cascade DataHub is a memory resident real-time database that acts as a hub, providing fast and efficient concentration and distribution of data for Windows, Linux, and QNX applications. It enables two-way exception-based messaging between all registered clients on any specified data points. It eliminates problems associated with synchronous polling, and supports open modular architectures.