According to a recent press release, “Today ScyllaDB announced the availability of Workload Prioritization, an industry-first feature that enables developers to run different kinds of workloads at the same time, on the same NoSQL database cluster. ScyllaDB’s latest innovation promises to cut database hardware spend by up to 50%. Workload Prioritization does this by eliminating the need to segregate database workloads into different clusters. Operations and analytics are a prime example. Operational workloads mainly consist of rapid-fire writes, reads, updates and other small, latency-sensitive transactions. Analytics workloads are less latency-sensitive but more dependent on high throughput for scanning large datasets. To avoid conflicts between the two, organizations typically maintain separate database clusters for each use case, even though it means duplicating resources and effort.”

The release continues, “Workload Prioritization makes these sorts of silos disappear by enabling teams to allocate ‘shares’ of total resources to each workload on a cluster. As a result, a single Scylla cluster can efficiently serve heterogeneous workloads—some operational, some analytical—while meeting performance expectations even in the face of traffic spikes and background maintenance operations. ‘Database users are tired of dealing with sprawling topologies, tweaking clusters and customizing them to support different workloads,’ said Dor Laor, CEO and co-founder of ScyllaDB. ‘With our Workload Prioritization feature, they don’t have to duplicate resources, isolate analytics workloads or dedicate an entire cluster to every microservice. They can consolidate their data in a single cluster, get rid of idle hardware resources and dramatically reduce maintenance costs. Workload Prioritization makes everything simpler, easier and less expensive’.”

Read more at Globe Newswire.

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