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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.
A relational database management system, based on the principles laid down in the book "Databases, Types, and The Relational Model: The Third Manifesto" by C. J. Date and Hugh Darwen.
Sedna is a native full-featured XML database management system.
Sedna is a free native XML database which provides a full range of core database services - persistent storage, ACID transactions, security, indices, hot backup. Flexible XML processing facilities include W3C XQuery implementation, tight integration of XQuery with full-text search facilities and a node-level update language.
DBIO is a tool to simulate Online Transaction Processing Database, which can be used to model production envirment for I/O test. A standard configuration file contained in the software simulates TPCC-Like I/O workload, which is modeled from DB2 Database running TPCC-Like workload. DBIO can also do data consistency check after the I/O workload test.
picoSQL is an Italian multi-user relational database management system with transactions support. Because it derives from a commercial project, it is already robust, fast, and rather complete.
Stay in Flow. Let Zenflow Handle the Heavy Lifting.
Your AI engineering control center. Zenflow turns specs into shipped features using parallel agents and multi-repo intelligence.
Zenflow is your engineering control center, turning specs into shipped features. Parallel agents handle coding, testing, and refactoring with real repo context. Multi-agent workflows remove bottlenecks and automate routine work so developers stay focused and in flow.