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.
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 world's leading data-driven companies rely on Vertica to deliver a unified predictive analytics warehouse at massive scale,' said
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
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*Source: GigaOM Radar for
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