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Content Distributors Opt for Caringo Swarm

Reducing latency "by 40%", storage/delivery TCO "by 75% "

Content distribution sites derive value from their ability to deliver digital assets to their audiences.

For best end-user experience, many content providers have implemented a secondary set of media access infrastructures to support their scaling sites, including additional media web servers, media access applications, relational databases and distributed file systems. A better solution to adding multiple tiers of infrastructure to purchase, deploy, scale and manage is to consolidate on a single, scalable tier of web-accessible storage, say experts at Caringo, Inc.

As content libraries grow, traditional technologies like relational databases and file systems become difficult to manage and protect. The cost of hardware and staff required to manage these disparate systems ultimately limits operational flexibility while the addition of each layer of infrastructure results in compounding latency resulting in increased buffering, slow content delivery and, ultimately, lost viewers. The solution is consolidating the media web server, media access application and relational database tier with searchable storage for the cloud age enabled by Caringo Swarm.

Content distributors looking to reduce latency by 40%, reduce storage costs by 75% and simplify content delivery, access from applications and content management should look no further than Caringo Swarm,” said Adrian Herrera, Caringo VP marketing. “This is the reason Caringo is used as the back end for major media properties owned by NEP, IAC and various cultural media archives worldwide.

Offered as a complete software appliance, Swarm provides a storage platform for data protection, management, organization and search at massive scale. Users no longer need to migrate data into disparate solutions for long-term preservation, delivery and analysis. Organizations can consolidate all files on Swarm, find the data they are looking for quickly, and reduce TCO by continuously evolving hardware and optimizing use of their resources.

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