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MongoDB Atlas runs apps anywhere
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.
OpenMRS is a community-developed, open source, enterprise electronic medical record system. Our mission is to improve health care delivery in resource-constrained environments by coordinating a global community to creates and support this software.
Camouflage is a full featured open source BRM/BPM/CMS stack using industrial strength open source products.
This project is based on JBoss 7, Camunda BPM Engine, Liferay Portal Server and Drools.
In 2015, the software company Qosqo who supported the development of Quipu decided to abandon the open source project as it was. The latest open source release (version 2.x) is what you'll find here. The development moved on in closed source at http://www.datawarehousemanagement.org, currently (March 2016) at version 3.2.
The open source description:
Quipu is an open source data warehouse generation system that creates and monitors data warehouses. With Quipu you can implement a data warehouse much quicker and easier.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Russian answers for American business models say NO for "one operation for one user" Jones provides routine accounting in small and average companies or in subdivision on large corporation.
This is a solution to help an enterprise to monitor their key data
This is a solution to help an enterprise to monitor their key/sensitive data. It is composed of seven major components: k-data modeling, k-data capture, k-data store, k-data watcher, k-data metrics, k-data view and k-data action.