Hitachi Vantara Raises Bar for Object Storage Performance

Hitachi Vantara, announces results from TechTarget’s Enterprise Strategy Group (ESG) technical review of Hitachi Content Platform (HCP), validating the platform’s scalable high performance and showcasing breakthroughs for modern applications and analytics workloads. Designed to measure performance with small and large objects, the Hitachi Content Platform: High-performance Object Storage for Cloud-native Applications Report also assessed the cost-effectiveness customers can achieve in their data center modernization and data-driven analytics initiatives.

The ESG technical review validated that HCP provides optimal object storage performance for modern cloud-native workloads, highlighting the platforms ease of use, efficiency, and massive scalability. Testing showed average throughput performances more than eight times more efficient than previous years with small object performance outpacing 2020 results by more than fifteen times in read throughput. The test results show HCP delivers excellent responsiveness, which means organizations can trust HCP with even more performance critical workloads. ESG validated the following performance increases over prior testing:

• 50% improvement in time to first byte.
• 8x large object read performance and write performance.
• 15x small object average read and 10x average write performance.
• Object Storage for the Data-Driven

Novel uses for the vast amounts of unstructured data that organizations are generating have put new strains and requirements on applications and infrastructure. Unstructured data has gone from being thought of as a cost to the business to now being a source for new revenue streams. This trend is compounded by the rise of cloud-native applications, artificial intelligence (AI) and machine learning (ML), and the processing and analysis of IoT data. The key is for organizations to know their data and find, use and analyze this data expeditiously. To meet this need, the underlying infrastructure and object storage must be able to process data faster. Faster applications result in accelerated analytics, faster problem solving and insights, improved productivity, and faster time to market for organizations and in many cases an improved customer experience.

“Almost every organization today understands the critical value that accelerated information processing and access brings both in terms of speeding insights and expediting time to value,” said Mark Ablett, President, Digital Infrastructure, Hitachi Vantara. “However, many companies are still struggling to keep up as the volume and variety of workloads increase, and more data is highly fragmented and distributed between on-premises, edge, and cloud. In short, their needs have extended far beyond traditional data storage and management approaches, which is why performance, scalability, and data intelligence matter now more than ever.”

“Based on the budget we have to work with, HCP can help us to keep data longer-term, which provides a deeper analysis of our users and data. Previously, we could retain just one to two months of data,” said an IT Services Director for a Government Agency, quoted in the ESG review. “With HCP, we can keep more than a year of data on the same budget, and scale far beyond that in the future. Flexibility is a top priority for us and we’re very happy with this architecture because HCP allows us to have data-dependent scalability without compromising on performance requirements.”

This newest validation complements the recognition Hitachi earned last year through a performance audit of Hitachi Content Software for File, which demonstrated 5x the metadata IOPS of the next highest file system solution. In the technical review, ESG verified the ability of Hitachi Content Platform for File to “outperform all-flash storage arrays and to use its distributed, parallel file system to expand performance.”

Accolades for Hitachi Content Platform

Hitachi Vantara’s HCP portfolio has been rated as exceptional for metadata analytics, big data analytics, compliance, and security. In addition to recent recognition from GigaOm and DCIG, this performance validation adds to HCP’s strong resume and confirms a wide range of unstructured data performance needs spanning cloud-native applications, artificial intelligence (AI), machine learning (ML), and IoT data for the performance and scalability enterprises require for driving business-critical workloads.