When Vertica in Eon Mode became generally available on AWS a couple of years ago, there was a lot of excitement and interest among our community looking for a cloud-optimized architecture to address variable workloads. Before the celebratory champagne glasses dried, we received a question that we had anticipated: when will Vertica in Eon Mode support other public clouds?
As they always do, our R&D team answered that question with Vertica in Eon Mode’s support for Google Cloud Platform in Vertica 10, and they are working diligently to support other public clouds in our near-term roadmap. With imminent Vertica in Eon Mode support for all major public clouds, surely that covers all of our customers’ needs, right? Not so fast.
Many organizations cannot or will not take advantage of the public clouds for their predictive analytics initiatives. After all, their analytical workloads are run on-premises or even in hybrid environments due to cost, security, and governance reasons. And some of the largest data volumes are handled by leading S3 object storage vendors, outside of the public clouds. So, why not partner with them and deliver Vertica in Eon Mode to enterprise data centers?
That’s exactly what happened, when history was made with the release of Vertica in Eon Mode for Pure Storage, the industry’s first and only analytical database solution that separates compute from storage for on-premises environments. Before the “ink dried” on our press release announcement, our customers and the industry overall asked when we would support [insert name] S3 object storage offering. So, we added support for Apache Hadoop and MinIO. But, as always, we are just getting started in providing even more choices, driven by customer demand.
Today, we are pleased to announce the general availability of Vertica in Eon Mode for Scality RING S3 object storage on the HPE Apollo 4000 platform. Available via the HPE Complete program, this turnkey predictive analytics solution allows for greater operational simplicity and workload isolation to meet ever more demanding SLAs and business objectives.
Now, separate workloads can dynamically consume dedicated compute resources all pointing to a single, centralized data repository powered by Scality RING, without the burden of data replication, copy maintenance, and load balancing across compute nodes and clusters.
As the software-defined object storage layer, Scality provides consumption options for cost efficiency and predictability while Vertica delivers cloud-optimized analytics for on-premises data volumes without the risk, cost, and complexity of migrating analytical workloads to the public cloud.
Vertica in Eon Mode for Scality RING S3 Object Storage on the HPE Apollo 4000 Platform enables you to achieve fast analytical insight from even your largest data volumes to:
- Scale storage and compute independently, giving organizations the elasticity and flexibility to address analytic workload changes and account for seasonality or peak load times
- Isolate analytic workloads to allow business analysts and data scientists to work alongside each other from the same data set without competing for resources
- Simplify database operations and ensure fast node recovery, superior workload balancing, and rapid compute provisioning
- Stop and start analytics more efficiently by hibernating stateless compute nodes when they are not needed
Join us on January 12 at 11 am ET for our upcoming Webcast: How Vertica and Scality deliver cloud analytics on-premises at massive scale.
And, make sure to keep an eye on this blog for more announcements as well as a follow-on blog post that dives into the architecture of Vertica in Eon Mode for Scality.
About the Author
Jeff Healey
Vice President of Marketing, Vertica Product Group in Micro Focus
Jeff leads marketing for Vertica, the industry’s unified analytics platform purpose built to manage massive volumes of data at extreme scale with the highest levels of performance. With more than 25 years of high-tech marketing experience and deep knowledge of product marketing go-to-market planning and execution, Jeff has previously led product marketing for Axeda Corporation (now PTC), the leading Internet of Things platform with millions of connected assets under management. Prior to Axeda, Jeff held product marketing, customer success, and lead editorial roles at MathWorks, Macromedia (now Adobe), Sybase (now SAP), and The Boston Globe.
