Media Asset Management (MAM) system provides a single repository for storing and managing video and multi-media files. Traditionally, MAMs were consistent of two primary subsystems: a meta-data service which manages the media attributes and links to the actual media, and a media storage service that is responsible to store the large media files. 
Naturally, when choosing a storage subsystem one is limited to subsystems that MAM vendor supports. That said, As a chain is only as strong as its weakest link, the MAM system will carry over and externalize its subsystems limitations. 
The abilities to be elastic, scale and shrink in capacity and performance on demand, scale-out into an additional server, scale-out to multiple data centers and sites, span into the cloud, replicate, tier and archive data and ease of management are all capabilities that need to be considered when choosing a media storage service. 
Given that is the case, the MAM admins need to consider each component separately, especially in large-scale implementations. 
Modern MAM systems can run exclusively on the cloud and as such can make use of the AWS S3 API or Azure Blob API as the media storage service. Using such MAM in conjunction with NooBaa as the media storage service provides superior flexibility, simplicity, and low TCO.  NooBaa supports both AWS S3 compatible API and Azure Blob compatible API and it allows the MAM system to use NooBaa as the media storage service. Using NooBaa in that way let customers use any mixture of on-premises, hybrid cloud storage or public cloud-native storage. The media files can be spanned between on-premises data centers and the cloud.
Extraction of metadata information can take place on the fly, to feedback the MAM system with video important characteristics.
NooBaa provides an internal and independent automation platform to streamline the entire data flow, base on dates, extensions or any other relevant characteristic including custom metadata. In the same way, NooBaa can invoke any tools that used for face recognition, subtitles creations, etc as part of this custom data flow. Those tools can run on-premises or on the cloud as AI services provided by the cloud vendor.

Media Asset Management anywhere 

NooBaa's personalized lifecycle policies help media companies to manage an effective and scalable data flow

  • Scale easily without compromising performance
  • Enjoy the cloud ecosystem for innovation and new opportunities
  • Easily distribute your catalog to multiple distribution channels.
  • Collaborate production materials between teams and sites

Why do you care?

One product that gets you exactly what you need.

Fully integrated with native cloud storage. 

Cutting costs, by using advanced deduplication and compression algorithms 

Fast onboarding with a free community version

NooBaa is used as the MAM media storage service. The entire media catalog is stored on NooBaa as a single system, while NooBaa automatically replicates and moves data between sites and cloud-based on access patterns and data policies. 

Data is always available to any client regardless of current data storage location while optimizing for data locality for teams collaboration across the globe.

NooBaa's metadata can store all the video's metadata for external services use in the cloud. 

Media companies struggle with fast data growth while the cloud ecosystem introduces new opportunities for video analytics. Face recognition, transcription, and translations are just examples of such services that can introduce new income streams by repurposing the existing video catalog. 

NooBaa's deduplication and compression algorithms help to reduce operational costs, improve video lookup time and much more. 

NooBaa's community version includes all the features. NooBaa's installation is exceptionally easy by downloading the NooBaa OVA or by using our online Test drive.

You can also schedule a one on one online meeting with our experts to learn more about the product and raid your own challenges.