Based on Forward-Looking Analysis of Key Features and Capabilities and its Performance Over Massive Data Sets Vertica Receives Leader Spot and Sets Itself Apart From its Competitors
Santa Clara, CA – May 5, 2020 – Micro Focus (LSE: MCRO; NYSE: MFGP) today announced that Vertica, the most advanced unified analytics warehouse, has achieved the top spot among data warehouse platforms, scoring consistently high rankings across the key criteria and evaluation metrics compared to 12 top competitors, according to the GigaOm Radar Report.*
According to the report, Vertica achieved its leader position for its “strong performance; a wide variety of built-in analytics functions; excellent integration with data science workloads and external data lakes; and notable flexibility in its deployment options.” A software-only solution with complete freedom from underlying infrastructure, Vertica is trusted by leading data-driven companies, including Cerner, Guess?, The Trade Desk, Uber and many others to deliver the highest performance, extreme scale and reliability on mission-critical analytics.
“The world’s leading data-driven companies rely on Vertica to deliver a unified predictive analytics warehouse at massive scale,” said Joy King, Vice President, Vertica Product & GTM Strategy at Micro Focus. “Vertica was purpose-built for the highest level of performance with a robust feature set and next-gen analytics capabilities, and this report is a great validation of how we’re achieving our goal of continuously meeting the needs of our clients.”
Vertica is a unified advanced analytics warehouse based on a massively scalable architecture with the broadest set of analytical functions and end-to-end in-database machine learning. Vertica powers the largest and most demanding workloads across major public clouds and on-premises data centers, integrating data in cloud object storage and HDFS without forcing you to move any of your data.
Select excerpts from the GigaOm Radar Report include:
- The platform offers excellent concurrent loading and querying performance over massive data sets and a columnar data store with a high degree of effective compression. In addition, the platform offers a robust set of SQL-based in-memory analytics functions such as time series, pattern matching, geospatial analytics and many more.
- Building on the native analytics capabilities, the platform offers tight integration with the data science workflow by offering in-database ML capabilities. Functions for data prepping, model training and testing, prediction, performance evaluation and management are all well-thought out and presented.
- Deployment options are some of the most flexible in the industry. The platform is available for infrastructure as a service (IaaS) deployment on the AWS, Azure and GCP platforms. The company also offers different scalability models with cloud deployments, including Enterprise Mode for coupled compute and storage resources, and Eon mode for independently scaled and sized storage and compute resources. Deployment is also available on-premises, where Eon mode is also supported through a partnership with Pure Storage and its FlashBlade file and object storage platform.
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*Source: GigaOM Radar for Evaluating Data Warehouse, April 2020
About Micro Focus
Micro Focus delivers enterprise software to empower our 40,000 customers worldwide to digitally transform. With a broad portfolio, underpinned by a robust analytics ecosystem, the company enables customers to address the four core pillars of digital transformation: Enterprise DevOps, Hybrid IT Management, Predictive Analytics and Security, Risk & Governance. By design, these tools bridge the gap between existing and emerging technologies so customers can run and transform at the same time.
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