MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
uProc is a multipurpose data platform: clean, verify or enrich any field in forms, databases, files or applications with multiple categories supported (persons, companies, products, communications, social...).uProc Integrations
It's easy to connect MongoDB + uProc without coding knowledge. Start creating your own business flow.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Create a new document in a collection of your choice.
Select a tool to perform verification or enrichment
MongoDB is a NoSQL database for storing and accessing data in a flexible, document-oriented way. It was initially released in 2009, and is supported by MongoDB Inc., which is based in New York City. This database can be used as a database server or as a database within an application.
uProc is a lightweight, open source, high performance workflow management system (WMS. developed at the University of Waikato. It is written in Java, and can run on any operating system that supports the Java Runtime Environment. uProc supports multiple storage backends including MongoDB and Cassandra. A workflow is an activity or work performed to achieve a goal. A workflow can be applied to many different scenarios from everyday tasks to scientific experiments to business processes. A computer-based workflow does not require a physical person, it can be automated. uProc allows users to define workflows using XML documents, and then execute them through a graphical user interface or command line interface. uProc provides the implementation of the XML specification XProc.
To integrate MongoDB and uProc, the first step is to install both uProc and MongoDB on your local machine. Then you can create a MongoDB cplection and connect it with uProc through the MongoDB connector module that comes with uProc. Then you can create a workflow to use with MongoDB, and schedule it to run at a specified time. The connection between MongoDB and uProc should allow you to store all of your workflow information in MongoDB including parameters, worklists, process definitions, file contents, log files, etc.
MongoDB is a popular database used by many companies including Foursquare, LinkedIn, Netflix, Uber, and more. Integration of MongoDB and uProc will help us take advantage of this powerful database along with its rich document model. Using it will also provide some benefits like:
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