Sweet Inn sought to load data from Amazon to BigQuery and needed a solution to help aggregate and orchestrate all their data. Using Rivery, Sweet Inn was able to gain full DataOps control, saving valuable time and resources on generating reports and cross-team processes.
onX used data pipelines to load data from several different data sources into Google BigQuery. But onX didn’t have the resources to handle all the back-end tasks associated with pipeline maintenance. In particular, onX needed a solution that automatically adjusted to API updates. So onX turned to Rivery.
Global media company, Minute Media, needed to upgrade their data ecosystem to centralize their processes into one efficient data hub that would serve as the single source of truth. In addition, they sought to rethink their data flows to streamline the process of generating data for company reports – both internal and external.
With over 300,000 employees in 48 countries, Veolia is a global leader in energy, water and waste management. Rivery became instrumental to transform all their data in successive layers managing everything through BigQuery.
As weather tech company, Climacell, scaled their marketing activity to grow the app’s user base, the process to measure and optimize marketing ROI became increasingly complex. Discover how Rivery aligned their data from app stores and several disparate data sources, providing a new in-house solution with BigQuery + Tableau.
NetoMedia needed a platform that could integrate all of its diverse data sources into Tableau. This would enable NetoMedia’s BI analysts to produce critical business insights for teams across the company. And for those key capabilities, NetoMedia turned to Rivery.
Colu is a fast-growing startup with an ambitious vision, to change the way money is being created and used. Colu created a digital wallet that encourages sustainable and equitable economic growth by supporting local businesses. Colu’s team began a quest for a platform that would enable them to first swiftly manage the transition of their data warehouse from mongoDB to BigQuery.