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“PieSync works perfectly. What I like the most about the service is to have all the contact data align between our different apps. I don’t have to worry about isolated data anymore.”
"PieSync’s Intelligent Syncing not only keeps the databases of Mailchimp and Pipedrive in sync, but it also helps us in this hand-off between onboarding campaigns."
Astronomer is a data engineering platform that collects, processes and unifies your enterprise data, so you can get straight to analytics, data science and—more importantly—insights. Basically, Astronomer makes it easy to capture data from any source and send it to any location to tee up your organization for insights.
Conviva is the real-time analytics platform that makes streaming data actionable. Used by the world's largest streaming publishers, including 8 of the 10 largest global media companies with combined market caps exceeding half a trillion dollars. Conviva pioneered and continues to define the standards for real-time, cross-screen, end-to-end streaming media intelligence. Built for streaming video, the Conviva platform enables you to understand and act on experience, advertising, social, and content insights for every stream across every screen, every second. More than 250 industry leaders – including CBS, CNN, DAZN, HBO Max, Hulu, Red Bull, RTL, Sky, Sling TV, TED, Turner, and Univision – rely on Conviva to drive time-critical decisions at every level of their organization, reducing customer churn, increasing viewer engagement, driving new monetization models, and growing ROI. In 2006, Conviva’s founders sparked a revolution that defined measurement, analytics, and user experience in streaming entertainment. Today, the company continues to push the industry forward and provide the insights and context companies need to thrive in the digital world.
Gathr is a next-gen, cloud-native, fully-managed, no-code data pipeline platform. It’s the only all-in-one platform for all your data integration and engineering needs – batch and streaming ingestion, CDC, ETL, ELT, data preparation, machine learning, and analytics. The Spark-based platform brings unmatched speed, performance, and flexibility required to handle all types of data and analytics approaches, in ways that traditional ETL tools cannot.
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