The Intelligence Behind Intelligent HCI

December 11, 2019 | Posted by ,

More than 60 percent of data created today is in video and streaming media formats. Given its ability to start small and grow over time, the right hyperconverged infrastructure (HCI) offers an ideal platform for this type of data. That said, most HCI vendors are completely unprepared to support this sort of workload. As customers start to view video data as a strategic asset, they need a solution designed to meet the unique requirements of video data, and by extension, other IoT data.

Take Nutanix, for example. Its solution is optimized for file-based applications and it can’t scale to the level of ingest required for high-density streaming media. In fact, a very specific architecture is required to support ingest at enterprise-grade rates, especially when the sources of streaming media — in many cases, video cameras — frequently start producing data without advance warning. Video data typically consumes large quantities of storage, often much more than traditional datasets. Pivot3’s pedigree in video storage explains why Forrester Research commented that, “Pivot3 boasts one of the two largest hyperconverged data storage clusters we found in our research.”

The approach to data and risk management is also very different for video data. Normal deduplication and compression methodologies degrade the quality of video, making traditional data reduction methods a non-starter. For organizations with a risk management policy that requires multiple copies of mission-critical data, a platform like Nutanix will require 3x the effective storage capacity of the raw data. Pivot3’s unique erasure coding requires only 7 percent more space to provide the equivalent of three copies of the data.

This same erasure coding technology also provides performance for data recovery, again an absolute requirement for video and streaming media applications and not available from traditional HCI vendors. Data recovery performance has other implications as well; as customers increasingly deploy artificial intelligence in the form of video analytics and other computer vision applications, a careful balance of prioritized processing power and data availability is required.

There are dozens more unique requirements that are born out of video and streaming IoT, a market that is growing fast and generating new technology demands every day. We welcome the opportunity to compare Pivot3 to any hyperconverged or non-hyperconverged platform for its support of mission-critical video environments that require resilience, security and manageability at enterprise scale. With thousands of deployments under our belts, we’ve been able to optimize our platform for these unique requirements like no other HCI vendor, and we’ve got the numbers and deployments to prove it.

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