Rivery's big data integration tools and data management system enables automated data integration in the cloud. Rivery is a code free intuitive Saas Integration tool that allows you to focus on insights and actions, while we build and maintain your data pipelines. ETL from ShareASale to Snowflake, Azure, BigQuery and Redshift

ShareASale

ShareASale

ShareASale is an affiliate marketing network that services two customer sets in affiliate marketing: the affiliate, and the merchant.


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ShareASale

Aggregating ShareASale’s Insights To Your Data Platform

You can upload ShareASale data to your cloud platform. Whether you’re using Google Cloud Platform, Microsoft Azure ,Amazon Cloud or Snowflake, with a simple click you will be able to integrate your ShareASale data.

ShareASale

Without the need for development, aggregating your ShareASale insights to your data platform will help you take control of your data and manipulate it to fit your business needs.

Integrate ShareASale data to Microsoft Azure

Integrate ShareASale data to AWS

Integrate ShareASale data to Google Cloud

Integrate ShareASale data to Snowflake

Integrate ShareASale data to Treasure Data

Rivery’s data platform

Provides data users with an intuitive tool to gain full control of their data while most companies today understand the benefits of consolidating their data in the cloud, many lack the technical skills or resources required to achieve it, or simply defer the decision due to the perceived complexity and risk.

speed icon-rivery -data integration, big data pipeline (ETL)

Speed

data integration tools to build your data pipeline in minutes, one simple ETL platform.

Cost

eliminate the high costs required to build and maintain data pipelines.

Simplicity

no need for development or DevOps to set up & maintain your data in the cloud.

big data integration tools - rivery data pipeline

Aggregate your data from all these platforms with Rivery

  • All
  • Analytics
  • CRM
  • Databases
  • Events/Webhooks
  • Marketing
  • Services
  • Storage
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