SQream and Hitachi Vantara partner

SQream, the developer of a hybrid platform for rapid data analytics at scale, and Hitachi Vantara, a subsidiary of Hitachi Ltd., and leader in the field of data management and digital infrastructure solutions, are collaborating to offer solutions that will enable large organizations to better utilize analytic systems like Hadoop-Hive, Cloudera and Teradata to accelerate critical insights and run AI/ML models over even the largest data using SQream's data acceleration platform and Hitachi Vantara’s innovative object storage offerings.

Wednesday, 7th September 2022 Posted 2 years ago in by Phil Alsop

SQream, a Hitachi Vantara Create partner since 2021, offers the solutions in cooperation with Hitachi Vantara to address the challenge of growing data within the enterprise, and the difficulty organizations face in analyzing the full scope of this data to achieve accurate business insights when they need them most. SQream’s Data Acceleration Platform integrates with Hitachi Content Software for File, a highly parallel NVMe-based file system and Hitachi Content Platform (HCP) object storage, to deliver targeted performance and attractive economics.

The companies recently launched a joint project helping a major global manufacturer enable anomaly detection via artificial intelligence and high-performance computing machine learning applications. Using Hitachi Vantara storage systems and SQream for rapid analytics, the manufacturer was able to ingest and continually analyze a multi peta-scale database composed of manufacturing machine sensor events, ingested to thousands of tables. This led to a significant improvement in Overall Equipment Efficiency.

“Extensive data analysis has become synonymous with long ETL processes and queries that, in turn, result in many organizations receiving valuable insights too late and less accurate AI/ML models,” said Benny Yehezkel, CRO of SQream. “This joint offering with our partner Hitachi Vantara accelerates Total Time to Insights (TTTI) and turns data into business value with unprecedented cost-effectiveness, providing great potential for our common customers.”