Major release of Unified Analytics Platform delivers support for Docker Containers and Kubernetes, advanced machine learning and time series capabilities, and increased analytical performance
BOSTON, MA – July 20, 2021 – At Vertica Unify 2021, Vertica announced the Vertica 11 Analytics Platform, which includes major features and enhancements to delivering unified analytics and machine learning across multi-cloud and multi-regional deployments with self-service container workflows to meet the agility, speed, and security requirements of the most analytically driven organizations. With Vertica 11, organizations can unify their data siloes and choose from the broadest deployment options with improved automation capabilities to future-proof their analytics and machine learning to achieve measurable business value.
“Unified Analytics is a critical movement in our industry. But truly unified analytics requires proven and mature security, true deployment choice, end-to-end machine learning in production, and no-compromise analytical performance for organizations to capitalize on this mega trend,” said Colin Mahony, Senior Vice President and General Manager, Vertica, Micro Focus. “In Vertica 11, we expanded Vertica in Eon Mode to the Azure cloud, delivered support for Docker containers and Kubernetes, extended our market lead in advanced analytics and machine learning including time series forecasting, and much more. The feature list goes on and on – Vertica 11 is truly the unified analytics platform with the fastest performance at unlimited scale.”
Vertica 11 includes more in-database machine learning capabilities with the latest release of VerticaPy, an open source Python library for Vertica that supports Python projects on data stored in Vertica. VerticaPy now includes expanded machine learning functionality, connection, and data exploration capabilities as well as graphical capabilities. In addition, this release offers a new, open sourced Apache Spark Connector that supports Spark 3.0 and Scala 2.12 with S3, SSO, and parallel read/write support, significantly improving performance. Additional key capabilities include an XG Boost algorithm, increased PMML integrations, and customized time series algorithms.
“Running in-database analytics and machine learning will be a real game changer for Jaguar Racing,” says Phil Charles, Technical Manager, Jaguar Racing. “With access to all the data, 700+ in-database functions, and the blazingly fast query results, Vertica helps us to make time-critical decisions to ultimately deliver an edge that leads to more points, podiums, and wins for Jaguar Racing.”
With Vertica 11, Vertica in Eon Mode – Vertica’s cloud-optimized architecture that separates compute from storage for rapid elasticity and better cost control -- now is in full production on Microsoft Azure cloud, in addition to AWS and Google Cloud. Vertica also welcomes Dell EMC ECS as a certified object storage partner for Eon Mode deployments for on-premises private data centers. Vertica now supports the Eon Mode database in a Kubernetes StatefulSet, further delivering on the commitment to deployment flexibility across multi-clouds and on-premises data centers.
Highlights and enhancements to Vertica 11 also include:
Broadest Deployment Support
End-to-End Machine Learning
Increased Analytical Performance and Much More
For more information about Vertica 11, please visit www.vertica.com.
The core analytical platform within the Micro Focus software portfolio, Vertica is the Unified Analytics Platform, based on a massively scalable architecture with the broadest set of analytical capabilities and end-to-end in-database machine learning. Vertica enables many customers – from Philips to The Trade Desk to MassMutual to many others – to easily apply these powerful functions to the largest and most demanding analytical workloads, arming businesses and its customers with predictive business insights faster than any data analytical platform in the market. Vertica provides its Unified Analytics Platform across all major public clouds and on-premises data centers and integrates data in cloud object storage.