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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.
Design, automate, operate and publish data pipelines at scale
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Simple data manipulation jobs can be created visually. More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript.
Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints.
The platform allows to easily scale your data job across multiple cores or nodes/machines.
Supports Docker/Kubernetes deployments and offers AWS/Azure images in their respective marketplace
jHepWork was a name of the DataMelt program in 2005-20013
jHepWork (2005-2013) was an environment for scientific computation, data analysis and data visualization for scientists, engineers and students. The program is fully multiplatform (100% Java) and integrated with the Jython (Python) scripting language. Currently the project is known under the name DataMelt (https://datamelt.org)