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Vertica, a Micro Focus line of business, has released version 12 of the Vertica analytical database. Vertica 12 includes new major features and enhancements for analytics and machine learning across multi-cloud, hybrid on-premises and cloud, and multi-regional deployments.
Vertica 12 has expanded its Kubernetes support beyond AWS S3 to Google Cloud Storage (GCS), Azure Blob Storage and Hadoop Distributed Filesystem Storage (HDFS), making it fully cloud-native in any environment. Vertica’s cloud-optimised architecture also has been enhanced with intelligent sub clustering to better manage variable workloads and data sharing, helping to assign costs to owners in a logical way.
“While many companies are being forced to choose their analytics deployment strategy, to commit to one thing –public cloud, on-premises, or hybrid –no one knows exactly what the future may hold,” said Scott Richards, senior vice president and general manager, Vertica at Micro Focus. “With Vertica 12, we have developed a completely flexible platform that is seamlessly hybrid.”
It is as capable of deploying in a SaaS model as it is on-prem, Richards said. “The continuous advancement of our analytical capabilities means that no matter what your future data strategies may hold, Vertica brings powerful analytics to your data.”
Vertica 12 users can now choose from the broadest range of deployment options on the market, with improved automation capabilities as well, to future-proof analytics against constantly changing technology requirements. On the integration front, Vertica 12 increases the interaction with the data analytics ecosystem. Customers will benefit because key proprietary and open-source technologies work seamlessly, including a new version of VerticaPy, the Vertica Python and Jupyter Notebook interface, as well as an enhanced Spark connector and broadened PMML support.