The newly launched Vertica 12 carries major features and enhancements for analytics and machine learning across multi-cloud and hybrid cloud as well as and multi-regional deployments
Vertica, the data base brand under Micro Focus’ line of solution offerings, has released version 12 of the Vertica analytical database. The Vertica 12 includes new major features and enhancements for analytics and machine learning across multi-cloud and hybrid cloud (on-premises plus public cloud) as well as multi-regional deployments.
The announcement has been made during Vertica Unify 2022, the organization’s annual user conference, where attendees learned that 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.
Scott Richards, Senior Vice President & General Manager, Vertica, Micro Focus, says, “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.” “With Vertica 12, we’ve developed a completely flexible platform that is seamlessly hybrid. It is as capable of deploying in a SaaS model as it is on-premises. The continuous advancement of our analytical capabilities means that no matter what your future data strategies may hold, Vertica brings powerful analytics to you data.”
With Vertica 12, we’ve developed a completely flexible platform that is seamlessly hybrid. It is as capable of deploying in a SaaS model as it is on-premises. The continuous advancement of our analytical capabilities means that no matter what your future data strategies may hold, Vertica brings powerful analytics to you data.
Scott Richards
Senior Vice President & General Manager
Vertica, Micro Focus
In addition to supporting more on-premises object stores, Vertica 12 expands 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-optimized architecture also has been enhanced with intelligent subclustering to better manage variable workloads and data sharing, helping to assign costs to owners in a logical way.
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.
Qaisar
