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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.
DuckDB is an in-process SQL OLAP Database Management System
...Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. For development, use make debug to build a non-optimized debug version.
xBase database library. Creates traditional dBase III Plus and FoxPro database files. Unique dual btree indexes allow multiple indexes in each disk file. Small disk/memory footprint (81K). Ability to interface to multiple programming languages. Cheetah is an extremely fast, old school, traditional record manager. Cheetah can be used with any compiler that can link to a standard Windows DLL.