Load data from Nium to PostgreSQL in a few clicks

Focus on your business, not on getting your Nium data into PostgreSQL. Build scalable, production-ready data pipelines and workflows in hours, not days.

Nium to PostgreSQL Data Pipelines Made Easy

Your unified solution for building data pipelines and orchestrating workflows at scale.

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How to set up a connection from Nium to PostgreSQL

Nium Connection

Nium Walkthrough

PostgreSQL Connection

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Connect easily to Nium with 100% compatibility, regular API updates, and a wide range of other pre-built data connectors out of the box.

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About Nium

Nium is a global payments platform redefining how consumers and businesses can send, spend, and receive funds around the world. With one API, embed all your payments and card issuance solutions.

About PostgreSQL

PostgreSQL is an open source object-relational database system. With more than 15 years of active development and a proven architecture, it has earned a strong reputation for reliability, data integrity, and correctness. It runs on all major operating systems, including Linux, UNIX (AIX, BSD, HP-UX, SGI IRIX, macOS, Solaris, Tru64), and Windows.

Why Rivery?

Rivery's SaaS platform provides a unified solution for ingestion, transformation, orchestration, and data operations.

“We saved several $100K we could have spent on development and maintenance. Within a few hours, you can build a production-ready, scalable ETL system.”

Gal Bar, Founder and CEO

yellowHEAD

“We solved some of our most complex data challenges with Rivery. The ability to create a unified data pipeline that is always up-to-date has been a game changer.”

Tali Stern, Director of Business Intelligence

MediaForce

“Rivery has more than delivered on the value proposition I sold my leadership on. Rather than hiring two more developers, I’ve been able to build all these pipelines on my own.”

Sean Lucas, Head of Data Engineering

Shyft Moving

"A reporting process that once required back-and-forth between different teams is now executed ad-hoc by team leads in minutes, cutting time to execution in half."

Jean Huang, Analytics Manager

Good Apple