SwiftStack integrates with Splunk Enterprise SmartStore for business intelligence and predictive analytics

Multi-cloud data management company SwiftStack announced full support for the new Splunk Enterprise 7.2 with SmartStore. The day-one-ready solution is the result of Splunk and SwiftStack’s joint efforts to give Splunk users a storage infrastructure with twice the storage capacity for Security Information and Event Management (SIEM) data at half the cost of a legacy on-premises deployment, it announced on Tuesday.

SwiftStack provides an integrated platform for storage of warm Splunk data through the S3 API, the de-facto standard for cloud-native storage. Users can now keep all Splunk data online, in one or more data centers and/or clouds, search across months or years instead of days or weeks, and reliably meet data governance objectives for long-term retention and protection.

Capacity and throughput can scale infinitely alongside data volumes and ingest rates as needed. with SwiftStack, Splunk data is resilient up to fourteen 9s of durability as soon as the bits are written to the disk drives.

New in Splunk Enterprise is its optimized data management model called SmartStore, which separates storage resources from the compute nodes to maximize configuration flexibility, while maintaining search performance.

SwiftStack is a software-defined distributed data storage and management system that leverages on-premises and public cloud infrastructure. It can be easily deployed and scaled by adding standard server hardware on premises and accounts in Amazon Web Services or Google Cloud Platform.

Applications and users are given universal access (file and object) to a single data namespace, and data is placed across the system by user-defined policies. Any amount of metadata can be added and indexed in the system, allowing for full awareness and utilization of valuable business assets.

As a validated storage target for Splunk Enterprise 7.2 with SmartStore, SwiftStack enables users to expand Splunk usage for business intelligence and predictive analytics, so enterprises can derive even greater insights from machine data.

“Splunk deployments are challenged by large data stores, and the need to perform complex analytics of machine-generated data, one of the fastest-growing and most pervasive ‘big data’ categories,” said Greg Govatos, vice president for strategic alliances at SwiftStack. “Our modern, scale-out, high-throughput infrastructure for Splunk workloads can manage petabytes of data at a radically lower price point than in previous environments and this modernization can occur incrementally.”


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