Illustration Image
Company: Sling TV
Industry: Entertainment
Functional Use Case: Recommendation, Product Catalog, Personalization, Data Store

The #1 live TV streaming service with approximately 2.3 million customers, Sling TV, was looking to provide more personalized service for its users.

They recognized the need for a highly available, scalable, and centralized data solution for their 16 platforms to deliver a great customer experience. They also wanted to build the Sling TV backend on-demand in a hybrid cloud environment with operations running across both public and private cloud.

Sling TV was looking for a proven solution to stay competitive and provide a first-class customer experience. They wanted to personalize the user experience on a grand scale and also be able to scale on demand.

Sling TV needed to have the ability to build out a backend in the hybrid cloud environment and a distributed database with a continuous deployment model. With data centers on the east and west coasts, Sling TV put customer-specific data into a common store that can be shared across sites, thanks to Cassandra’s ability to be deployed across regions.

The new platform needed to be highly available and resilient while centralizing business logic over 16 different platforms across the country. They wanted to be able to deliver a seamless experience to all customers.

It was critical for Sling TV to provide a highly resilient and available service that is personalized to each user, that scales on demand to keep up with their expanding customer base.

“Apache Cassandra and DataStax Enterprise has become a key part of our hybrid cloud strategy and has enabled our software to run in private and public clouds with close to the same tooling. We are now able to replicate data across the country in less than two seconds, which is a big win for us,” says Brad Linder, Director of Cloud Native Engineering at Sling TV.

The solution needed media distribution capabilities that included authentication, program catalogs, and feature metadata storage.

“What we try to do is give the customer what they want. We try to get relevant information and content quickly to folk with less friction—fewer clicks to video,” according to Linder. “We’re not just paying lip service to customer feedback. We want to solve the pain points they have and engineer the platform accordingly.”

“We have a growing customer base and a very elastic business model, so we have to deliver our software into any public cloud as well as on-premises private cloud. From a technical perspective we need low latency and high availability.”

Stack Includes: Apache Cassandra, Datastax Enterprise

Want to share your use case?

Planet Cassandra is the home page for the Cassandra Community, where everyone in the community can share their use cases.

Show off what you've done & help others learn following your example & contribution.

Become part of our
growing community!
Welcome to Planet Cassandra, a community for Apache Cassandra®! We're a passionate and dedicated group of users, developers, and enthusiasts who are working together to make Cassandra the best it can be. Whether you're just getting started with Cassandra or you're an experienced user, there's a place for you in our community.
A dinosaur
Planet Cassandra is a service for the Apache Cassandra® user community to share with each other. From tutorials and guides, to discussions and updates, we're here to help you get the most out of Cassandra. Connect with us and become part of our growing community today.
© 2009-2023 The Apache Software Foundation under the terms of the Apache License 2.0. Apache, the Apache feather logo, Apache Cassandra, Cassandra, and the Cassandra logo, are either registered trademarks or trademarks of The Apache Software Foundation.

Get Involved with Planet Cassandra!

We believe that the power of the Planet Cassandra community lies in the contributions of its members. Do you have content, articles, videos, or use cases you want to share with the world?