Vertica Announces Vertica 12 for Future-Proof Analytics

Rhea-AI Summary

Micro Focus has launched Vertica 12, an advanced version of its analytical database, enhancing deployment flexibility and analytics capabilities. This version supports multi-cloud and hybrid deployments and enhances machine learning features, allowing users to adapt to rapidly changing technology needs. Key improvements include expanded support for on-premise object stores, Kubernetes integration, and enhanced data sharing. Vertica 12 aims to future-proof analytics strategies with capabilities like faster analysis of complex data types and improved automation for analytics processes.

Positive

• Launch of Vertica 12 enhances analytics capabilities and deployment flexibility across multi-cloud and hybrid environments.
• Improved support for on-premises object stores broadens deployment options.
• Enhanced machine learning features and integration with popular data analytics tools like Spark and Jupyter Notebook.
• Cloud-optimized architecture increases performance and simplifies data sharing.

Negative

• None.

Latest version of analytics database enables more deployment flexibility, advanced analytics, and enhanced machine learning

BOSTON, June 7, 2022  /PRNewswire/ -- Vertica, a Micro Focus (LSE: MCRO; NYSE: MFGP) line of business, today announced the release of 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.

The announcement was 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.

"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-premises. 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."

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.

Highlights and enhancements to Vertica 12 also include:

Broad Deployment Framework Support and Higher Performance

• Expanded list of compatible on-prem object stores with VAST Data and H3C: Allows the use of a broad selection of object stores as the main data repository for private cloud implementations with the addition of VAST Data and H3C to the list of compatible on-prem object stores, along with Dell, MinIO, NetApp, Pure and Scality.
• Cloud-native, elastic and containerized architecture anywhere: Cloud-optimized architecture improvements for subcluster use for ELT and data ingestion.
• Enhanced data sharing on AWS S3 and settings with "Requester Pays" for usage.
• Fast Automated Table Segmentation for large, unsegmented tables.
• Faster analysis of Parquet files, and complete support for complex data types
• Full ISO-2001 Certification of Vertica Accelerator, Vertica's unified analytics platform delivered as SaaS.
• FIPS support and more authentication: Broadens support for single sign-on (SSO) capabilities with OAuth2 token authentication support for JDBC and ODBC clients

Advanced Analytics and Machine Learning

• New VerticaPy features for Python Pickle and an enhanced Graphviz package.
• In-Database Analytics Advancements, such as library expansion and even more geospatial capabilities.
• End-to-End Machine Learning with the ability to manage and operationalize in Vertica tree models that were created elsewhere.
• Stored Procedures Advancements with new extensions for geometry, geography and altering existing procedures.
• Analyze data in place quickly by enabling users within multiple formats in object storage or on HDFS.
• Spark Connector supports exchange of data through Parquet or other data on HDFS and S3.
• Analytics application developer productivity with support for NODE.JS.

Additional Information

For more information about Vertica 12, please visit www.vertica.com.

To learn more about Vertica on Twitter, please follow @VerticaUnified and join Vertica on LinkedIn.

About Vertica

The core analytical database within the Micro Focus software portfolio, Vertica is the Unified Analytics Platform, based on a massively scalable architecture with the broadest set of analytical functions spanning event and time series, pattern matching, geospatial, and end-to-end in-database machine learning. Vertica enables many customers – from Agoda to Philips to many others – to easily apply these powerful functions to the largest and most demanding analytical workloads, arming businesses and their customers with predictive business insights faster than any analytical database or data warehouse in the market. Vertica provides its Unified Analytics Platform as SaaS on AWS, across all major public clouds and on-premises data centers as a BYOL (bring your own license) model and integrates data in cloud object storage.

Contact:
microfocus@pancomm.com

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SOURCE Micro Focus

FAQ

What new features does Vertica 12 offer?

Vertica 12 includes enhanced machine learning capabilities, multi-cloud support, and improved deployment flexibility for analytics.

How does Vertica 12 improve deployment options?

It offers expanded support for on-premises object stores and Kubernetes integration, allowing versatile deployment strategies.

What is the significance of the Vertica 12 launch for MFGP shareholders?

The launch signifies advancements in analytics technology that could enhance competitive positioning and drive future revenue growth for MFGP.

When was Vertica 12 announced?

Vertica 12 was announced on June 7, 2022, during the Vertica Unify 2022 user conference.

How does Vertica 12 support machine learning?

It includes new features for Python integration, enhanced analytics capabilities, and support for operationalizing machine learning models.