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...).
Helping B2B SaaS increase global conversions, reduce churn, stay compliant, and scale up fast.Paddle Integrations
It's easy to connect uProc + Paddle without coding knowledge. Start creating your own business flow.
Trigger when new payment made.
Trigger when new transaction is coming.
Trigger when new user created.
Select a tool to perform verification or enrichment
Create a new coupon for the given product or a checkout.
Create a new subscription billing plan with the supplied parameters.
uProc is an open source software platform for building, managing, and automatically executing Data Science workflows. It is designed to be a spution for data scientists, data engineers, and application developers who are interested in building data products. uProc provides a common environment for data scientists and data engineers to cplaborate on data products with ease. The uProc project includes two distinct components. uProc Engine and uProc Studio. The uProc Studio component is installed on the end user’s machine and provides a graphical user interface for data scientists to design and run large scale data processing pipelines. The uProc engine executes these workflows as jobs on cloud computing platforms (e.g., Amazon EC2.
Paddle is a full stack, distributed, in-memory processing platform designed to run 100x faster than Apache Spark. Paddle is perfect for running interactive queries against your big data at low latency. It has support for SQL as well as native APIs for Java, Python, R, PHP, Ruby, C/C++ and Go.
The integration of uProc and Paddle will make it easier for users to build data products that require both data science and cloud computing capabilities. This will allow users to take advantage of the best of both worlds. For example, you can use uProc to build a pipeline to clean, manipulate, and share your data across your organization. Then you can use Paddle to perform interactive queries on your data in real time using SQL or native API calls. You can also use Paddle to create streams or tables in real-time so that your data can be easily integrated into other applications such as dashboards and reports. For example, if you have two companies that are working together on a project, it will be much easier for them to share their data via Paddle than if they had to transfer the data via various USB drives or FTP. If you are a data scientist who is interested in doing high performance analytics, it will be much easier for you to use Paddle’s high speed analytics instead of having to rely on batch analytics like Apache Spark or uProc's own analytic engine.
The process to integrate uProc and Paddle may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.