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Industry Summary Articles

Thursday, August 16, 2018

SQream and Moyo to Turbocharge South African Big Data Analytics Market

SQream, the developer of SQream DB, announced today a strategic partnership with Moyo Business Advisory, a leading South African system architecture and analytics company. The partnership will dramatically enhance Moyo’s ability to meet its top-tier clients’ burgeoning big data demands.

The partnership with Moyo will provide SQream with a valuable footprint in Africa. SQream already has a string of US and Asian customers, and recently formed a partnership with Alibaba who has invested in the company. Moyo, one of the leading South African technology integrators and resellers, serves numerous clients in the JSE top 100 who operate in a variety of industries such as financial services, natural resources, utilities and mining.

“Our partnership with SQream will have far-reaching consequences for both the scientific and business communities who rely on the rapid processing and analysis of very large datasets,” said Dewald Lindeque, Business Development Director at Moyo Business Advisory. “We look forward to leveraging SQream to better meet our clients’ big data needs in their pursuit of faster analytics and more actionable business intelligence.”

“We are pleased to partner with a firm as reputable and prestigious as Moyo,” said Ilan Ackerman, VP Sales APAC and Africa for SQream. “Together, Moyo and SQream will revolutionize the analytics space in Africa, dramatically enabling Moyo’s customers in a variety of industries to access and analyze data from exponentially growing massive data stores to gain near real-time analytical queries to become more agile and competitive.”

SQream DB, a powerful SQL analytical database, enables companies to analyze up to 20 times more data, up to 100 times faster, at as little as 10% of the cost and administration. SQream DB harnesses the power of thousands of parallel processing cores in GPUs, allowing users to easily ingest, store and analyze tens to hundreds of terabytes of data and more with significantly reduced infrastructure and manpower resources. The result is unparalleled power and flexibility to explore and analyze massive amounts of data.

To view the original press release, please click here.

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