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.
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This software implements the IEC60870-5-104 protocol (client side) for substation data acquisition and control via tcp/ip network using the QT UI Framework. It can be compiled on Linux and Windows platforms. It's possible to poll and view data from the remote system (RTU) and also send commands.
>>> Have a look also at my new SCADA project here:
https://github.com/riclolsen/json-scada
EventWeb creates a bi-directional channel between a browser and a web server. This allows the user to interact with a web application in the same way as a desktop application. Works with Java servlets or as a stand-alone application server.
XTRACT4J V2 is a stand-alone, pure-Java program which creates XML file by dependent or independent SQL queries. It is designed as a drop-in replacement for Oracle Report to generate XML file. It also incorporates BI Publisher to create PDF reports.
Bi-directional SQL <-> XML conversion and updating
Allows user to convert one or more database schemas to XML. Can also create and/or update existing database with schemas from XML. It will support multiple database platforms and abstractions.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.