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ScyllaDB Announces Support for IBM Power Systems

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According to a recent press release out of the company, “ScyllaDB, the real-time big data database company, today announced a new Scylla Enterprise release with optimizations for IBM PowerTM System Servers with the IBM POWER9 multi-core architecture. By combining Scylla’s highly performant, close-to-the-hardware design with next-generation IBM Power System Servers, organizations can reach new levels of performance while also reducing the footprint, cost and complexity of their systems. Scylla database editions with support for IBM Power Systems are available for download from the ScyllaDB website. This integration builds upon a multi-faceted relationship between ScyllaDB and IBM. In 2016, IBM Compose began providing Scylla as part of their database-as-a-service offering. The collaboration has since grown to include additional IBM divisions, including IBM Systems (both IBM Power Systems and Z Systems), IBM Cloud (including IBM Graph as a service) and IBM’s internal use of Scylla to power the IBM Cloud Service Catalog.”

The release continues, “Scylla is an open source drop-in replacement for Apache Cassandra. It delivers scale-up performance of 1,000,000 IOPS per node, scales out to hundreds of nodes, and consistently achieves a 99% tail latency of less than 1 millisecond. Scylla’s pioneering shard-per-core implementation, asynchronous architecture and auto-tuning capabilities enable organizations to immediately leverage the full advantages of the multi-core POWER9 chip. ‘ScyllaDB has designed a powerful distributed database that extends the performance advantages we’ve introduced with our multi-core POWER9 processors,’ said Tim Vincent, IBM Fellow and Vice President of IBM Cognitive Systems. ‘The combination of the Scylla NoSQL database and our Power System Servers enables our shared customers to scale up their systems rather than continually scaling out, creating new opportunities for data center consolidation and price performance’.”

Read more at PRweb.

Photo credit: ScyllaDB

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