Micro Focus has introduced a new release of the Vertica Analytics Platform. In a major advancement to improve cloud economics, Vertica 9.1 adds Eon Mode, which separates compute resources from data storage to enable organizations to optimize cloud infrastructure costs and simplify operations for customers' Vertica cloud deployments on Amazon Web Services (AWS).
As a result, Vertica customers in the AWS ecosystem can now load and store high volumes of data into AWS S3 to leverage lower storage costs, dynamically spin up new compute resources, and turn off compute resources when no longer needed using Vertica's query-optimized ANSI SQL advanced analytics engine. According to the company, this will be particularly beneficial to organizations with variable workloads, helping them to reduce infrastructure costs, while simplifying database administration. In addition, organizations have a broad choice of deployment options for on-premise, natively on Apache Hadoop, hybrid, and cloud workloadsdelivered via the unified Vertica analytics database.
Modern data-driven organizations manage a wide variety of variable workloads with different usage demands. This, combined with expanding data volumes, means organizations need to cost-effectively store their data but also deliver fast and comprehensive data analytics with optimized compute resources as needed. Moving data in and out of data stores is time consuming, and provisioning for storage and compute resources for peak demand scenarios is costly. Given these volatile and rapidly changing scenarios, the company says, organizations need to ensure that they can handle dynamic workloads and evolving data analytics requirements, while safe guarding their data lake investments.
Following a rigorous beta program, Vertica in Eon Mode is now generally available, to help organizations to handle dynamic workloads and evolving data analytics requirements. Vertica in Eon Mode includes an intelligent, new caching mechanism on the nodes that enables the separation of compute and storage without any compromise on the speed and breadth of all Vertica analytical functions, including time series, geospatial, pattern matching, and the full suite of in-database machine learning.
According to Micro Focus, one large beta customer achieved 30% faster load rates without any tuning, six times faster query performance, and eight times faster node recovery than their previous Vertica AWS deployment—with lower AWS infrastructure consumption that resulted in significant cost savings.
"Vertica's pure-software, hardware-agnostic approach has enabled our customers to deploy in a wide variety of configurations—from embedded solutions to the clouds and beyond," said Ben Vandiver, Chief Technology Officer and architect of Vertica in Eon Mode, Micro Focus. "
Vertica in Eon Mode on AWS is "a transformational step" from integrating with cloud services to a new core architecture that natively capitalizes on cloud economics, said Ben Vandiver, CTO and architect of Vertica in Eon Mode, Micro Focus. It provides the full suite of advanced analytics functions and in-database machine learning while supporting efficient elasticity that aligns consumption with need, Vandiver added.
Additional highlights and enhancements to Vertica 9.1 include Vertica by the Hour on AWS Marketplace which enables hourly paid subscriptions; In-database Machine Learning Advancements featuring new in-database machine learning capabilities; integrated data protection; and performance and management enhancements.
For complete details, go to www.microfocus.com.