Micro Focus Introduces Vertica 9

Singapore, Sept. 19,
2017 – Micro Focus (NYSE: MFGP) today announced a
major release of its Vertica Analytics Platform. Vertica 9 introduces an extended list of in-database
Machine Learning capabilities –
including new algorithms, model replication, data preparation functions, and
continuous end-to-end workflow – to simplify the production and deployment of
machine learning models. In addition, Vertica 9 will be available for
deployment in the Google Marketplace and has further integration with Microsoft
Azure including Power BI certification. With Vertica 9, organizations can now
analyze their data not only in place, but now in the right place – without data
movement – while supporting any major cloud deployment for fast and reliable
read and write for multiple data formats.

Micro Focus also
announced the beta release of Vertica in Eon Mode, which enables organizations
to evaluate the separation of compute and storage for Amazon Web Services (AWS)
deployments. Companies in the AWS ecosystem will be able to leverage AWS S3 for
storage and Vertica’s query-optimized analytics engine for processing speed to
capitalize on cloud economics.

Legacy data warehouse
solutions have forced many enterprises into rigid and high-cost proprietary
hardware and analytics solutions supporting only limited data formats. As data
formats and storage locations continuously evolve, organizations require a
powerful and unified solution to analyze data in the right place at the right
time, with the performance and economics that the business requires.

Critical to Micro
Focus providing customers with enterprise-grade scalable software with
analytics built in, Vertica provides organizations with a single, unified
analytical database that supports all major cloud platforms, all popular data
formats, enhanced integrations with Spark and Kafka and an analyze-in-place,
unified architecture that enables businesses to monetize their data assets with
cloud elasticity – regardless of data location. Organizations can use Vertica
9’s flexible and expanded deployment options across on-premise, private, and
public clouds, and on Hadoop and AWS S3 data lakes, to adopt a best-fit
analytical solution. This affords them the broadest choices on where, how, and
when they run analytics – supported by new provisioning and administrative UIs
built specifically for the cloud.

Vertica’s beta release
of its new Eon Mode architecture, offering separation of compute and storage,
provides rapid elastic scaling up and down on the Vertica cluster, with
just-in-time workload-based provisioning. An intelligent, new caching mechanism
on the nodes enable organizations to benefit from Vertica’s industry-leading
query performance. Companies in the
AWS ecosystem will be able to leverage AWS S3 for storage and Vertica’s
query-optimized analytics engine for processing speed to capitalize on cloud
economics.

Vertica for Google Cloud
Platform support will be available via the Google Marketplace, giving organizations the flexibility and freedom to
choose yet another leading cloud platform for their needs.   

The new release triples
load performance, dramatically increases query performance with Flattened
Tables, and extends concurrency by up to 60 percent. In addition, Vertica 9
natively integrates with key ecosystem technologies and open source innovation,
including Microsoft PowerBI, Cloudera Manager and Apache Spark 2.1.

·         In-Database Machine Learning – Provides a comprehensive set of new Machine Learning algorithms
for categorization, overfitting and prediction to enhance processing speed by
eliminating the need for down-sampling and data movement.

o   Support for new data-preparation functions for deriving greater
meaning from the data, while improving the quality of analysis.

o   Streamlined end-to-end workflow simplifies production deployment
of Machine models – particularly for customers that embed Vertica and require
the ability to replicate models across clusters.

·         Improved Core Data Management and High Analytical
Performance – Reflects continual
investments in the core underlying database architecture, including greater
management of massive amounts of historical data with hierarchical partition
management and more consistently high performance under the most demanding
workloads with the most sophisticated analytical queries.

·         Parquet Writer – Introduces
a new HDFS Parquet writer – built on Vertica’s fast and reliable ability to not
only read, but now write data and results on HDFS – to derive and contribute
immediate insights on growing data lakes in
an organizations’ Hadoop data pipeline.

·         Flattened Tables – Facilitates the
task of performing complex JOINs across multiple tables much less cumbersome
and much more performant. Analysts can quickly write straight-forward,
fast-running queries as if the data resided in one big flat table without the
need to alter their existing schemas, simplifying and speeding the process and
management of big data analytics in databases with complex schemas.

Vertica 9 will be
generally available in October 2017.

For more information on
Vertica 9, please visit www.vertica.com/v9.

For more information on
Vertica in-database Machine Learning capabilities, please visit: www.vertica.com/machinelearning.

To join the Vertica Eon
Mode Beta Program, please visit www.vertica.com/eonmodebeta.

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

Micro Focus is a
leading global enterprise software company uniquely positioned to help customers extend existing investments while embracing
new technologies in a world of Hybrid IT. Providing customers with a
world-class portfolio of enterprise-grade scalable solutions with analytics
built-in, Micro Focus delivers customer-centered innovation
across DevOps, Hybrid IT, Security and Risk Management, and Predictive
Analytics. For more information
visit www.microfocus.com.