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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Teiid is Enterprise Information Integration system. Teiid can virtualize and integrate data from multiple disparate information sources and provide as single Virtual DB
NEXD is a native XML-Database. It uses a relational database as mass storage and is implemented in Java. NEXD provides a flexible component architectur, a soap interface and a new concept for virtual documents that reuse existing xml fragments.
VDDBMS is a middleware for managing data sources (DBMS) from different vendors to form a virtual DDBMS. It supports fragmentation and replication. The core engine is written in C++. Binding for scripting language is available as well as network access.
insideApps from determyne: Transaction-level performance monitoring for J2EE applications. Correlates and reports on transactions across HTTP server, J2EE container, and database layers. Pinpoints the source of performance issues in real time.
BaseMovil is a framework for fast development of J2ME applications: a powerful J2ME database engine, a scripting engine and an ui toolkit which is fully integrated with both and allows xml view definition. The framework handles device differences/bugs.
OpenSiteSearch is the new Open Source version of OCLC's original java-based web application for building Z39.50 portals (i.e. virtual union catalogues). This project is specifically aimed at the library community.
This is a new generation of SQL (Structured query language) Server which is targeted to serve on a Virtual Appliance. Hybrid SQL Server is targeted to run on VirtualBox from SunMicrosystems.