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Gen AI apps are built with MongoDB Atlas
The database for AI-powered applications.
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
This SourceForge page is no longer maintained. To find downloads, source code, or documentation for the PostgreSQL project, please see our home page: http://www.postgresql.org.
Tokyo Cabinet is the successor of QDBM, a high performance database library similar to the DBM family. It also supports hash and B-tree databases and does not require any server process. The overall speed is improved compared to QDBM.
Set of tools and libs for
managing structured data
in a very flexible way:
Imp./Exp. ASCII, XML, SQL,
PS, Tex/LaTex, RTF
GUI: X-Windows, MS-Windows
Interface to C++, DBs, Perl,
PHP, Java, TCP/IP
LISP-like interpreter
written in C++ using C-LIB
Easy, modular and flexible WAMP bundling Apache2/SSL, MySQL4, PHP4, Perl5.8/ASP, Python2.3, Tomcat5, FirebirdDB, FileZilla, Mail/News-Server, phpMyAdmin, Awstats, WordPress, etc. It also includes a web-GUI to control/manipulate all bundled services.