Customer Stories

Emaar, the multinational estate company, was ready to migrate their data warehouse from on-premise to the cloud. With worldwide data to support thousands of operations and hundreds of projects, their data team needed to create an optimal data stack. Their first challenge was finding a robust ETL solution to migrate data from across three different databases.

As weather tech company, Tomorrow.io, 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.

yellowHEAD is an online marketing agency that streamlines different digital channels to provide firms with effective online presence. They turned to Rivery to unify their cloud DWH with 30+ data sources to optimize their clients’ campaign performance and ROI. Now, yellowHEAD can automatically process and normalize all their data into a single, cohesive model.

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.

In order to take its data operations to the next level, Bayer needed more data connectors, a more granular level of control over its data, and full data transparency across the board. That’s why Bayer combined Rivery with Snowflake and Tableau.

American Cancer Society needed a way to replicate massive volumes of daily Salesforce data into Snowflake. But due to the size of the Salesforce tables, the company's current tool was not entirely effective. After more market research, ACS replaced the tool with Rivery. Combining Rivery with Snowflake was a game-changer.

As a Fortune 500 CPG company, our customer is at the top of the food products industry. But to keep that perch, it must innovate at a rapid clip. The company needed a data management platform that could plug-in quickly, get the engine of growth started, and serve as the data backbone of an emerging D2C operation.

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.

Preqin needed to migrate its Microsoft SQL Server and MySQL into a cloud database. After finding the optimal cloud data warehouse in Snowflake, the company searched for a data management tool. But none of the tools Preqin tried were effective. That’s when Preqin 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.

WalkMe™ provides a cloud-based service designed to help professionals guide customers with online tasks. Their Digital Adoption Platform (DAP) began as a platform-agnostic guidance system to simplify user experience. Rivery provided WalkMe™ with a single repository for their data in record time. Find out how.

Entravision unit is the #1-ranked online advertising platform in Hispanic reach according to comScore. Their BI team needed to create a data warehouse to collect, transform, manipulate, and serve business data to all stakeholders in operations, sales, and finance.

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.

Good Apple was expanding so fast, the company was experiencing technological growing pains - one client report took over 72 hours to create every week. But that was just the tip of the iceberg. Good Apple needed a data integration platform to harness these growth opportunities.

Within weeks, Roojoom overhauled their data infrastructure with the help of Rivery. By moving their data warehouse to the cloud with Snowflake and utilizing Rivery to automate their data processes, they've created a seamless data flow that enables employees and clients alike to derive the best insights from reporting.

Quality Score is a boutique online marketing agency, specialized in large-scale campaigns. Most of their output is delivered working with the biggest digital advertising platforms such as Facebook, Google, Bing, and Taboola. They help enterprise clients reach ambitious goals by engaging with all the necessary channels.

Cignal.io develops CORE, a programmatic AI-based solution, to accelerate the performance of digital advertising ecosystems. With the power of Predictive Bidstream, CORE helps advertisers and media-buyers to overcome the industry's overflow of data and clutter. Using Snowflake and Rivery in their BI stack, CORE was able to analyze market-wide performance and the ROI of the digital advertising ecosystem.

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.

Oxford Communications is now able to present data to clients without limitations. By having Rivery connected to their database, Oxford is able to scale its data needs and save precious time and resources by maintaining all their data sources connected and aligned.

For Backbone Media data collection took a significant amount of time each month. By implementing Rivery, Backbone Media's data operations quickly became optimized and automated. Staff now spends just 5% of their time handling data instead of 60%, leaving ample time for analysis and client management.