Micro Focus has announced Vertica 9, the newest release of its Vertica Analytics Platform. With a focus on simplifying the production and deployment of machine learning models, Vertica 9 adds a plethora of in-database Machine Learning capabilities, such as new algorithms, model replication, data preparation functions, and continuous end-to-end workflow. Vertica 9 will be deployable from the Google Marketplace for increased flexibility and will have further integration with Microsoft Azure including Power BI certification as well. Also announced is the beta release of Vertica in Eon Mode, giving organizations the ability to evaluate the separation of compute and storage for Amazon Web Services (AWS) deployments.
Micro Focus has announced Vertica 9, the newest release of its Vertica Analytics Platform. With a focus on simplifying the production and deployment of machine learning models, Vertica 9 adds a plethora of in-database Machine Learning capabilities, such as new algorithms, model replication, data preparation functions, and continuous end-to-end workflow. Vertica 9 will be deployable from the Google Marketplace for increased flexibility and will have further integration with Microsoft Azure including Power BI certification as well. Also announced is the beta release of Vertica in Eon Mode, giving organizations the ability to evaluate the separation of compute and storage for Amazon Web Services (AWS) deployments.
Micro Focus claims that organizations will be able to leverage Vertica 9’s flexible and expanded deployment options across on-premise, private, and public clouds, as well as on Hadoop and AWS S3 data lakes, giving them the most appropriate analytical solutions possible. This will allow customers to attain widest range of choices on where, how, and when they run analytics.
With Vertica’s beta release of its new Eon Mode architecture, it is able to provide a separation of compute and storage with rapid elastic scaling up and down on the Vertica cluster as well as just-in-time workload-based provisioning. Organizations will also benefit from the intelligent, new caching mechanism on the nodes with impressive query performance.
Below is the list of further highlights and enhancement from Micro Focus:
- In-Database Machine Learning that consists of 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.
- Support for new data-preparation functions for deriving greater meaning from the data, while improving the quality of analysis.
- 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.
Availability
Vertica 9 is slated for release sometime in October 2017.
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