The future of infrastructure is multi-cloud and hybrid – a mixture of on-premise and cloud environments – and innovative data management and analytics practices should not be limited to one type of environment.
Vertica in Eon Mode for Pure Storage makes flexible, adaptive analytics possible on-premises.
With Vertica, there’s no need to maintain two different systems and thus two different storage locations for the same data to do both analytics and machine learning. Vertica offers speed at scale, even when concurrent users are performing analytics. Vertica supports both data scientists and SQL professionals with a single solution. Learn more in this webinar entitled “Introduction to Vertica In-database Machine Learning”.
With Vertica, there are no limits to your data analytics explorations. You get MPP archetecture for highly scalable capacity as your data grows. You get Flex Tables for working with semi-structured data, plus the ability to query HDFS (Hadoop) data in place. And you get advanced features like Live Aggregate Projections and the ability to write User Defined Extensions (UDXs) in Python or R.
MPP Architecture, High Availability
Role-Based and Column Security
Standard SQL (ANSI 99)
Flex Tables (metered at 1/10th)
DB Designer, Management Console, Elastic Cluster
ORC & Parquet Readers (to query Hadoop data)
UDx’s written in Java and C++, Voltage UDx (Voltage UDx is pre-built and shipped with Vertica)
UDx’s written in Python and R
Advanced SQL Functions(Analytical, Pattern Matching, Time Series, Geospatial)
ROLAP SQL Functions (Rollup Aggregations, Grouping Sets Aggregations, Cube Aggregations, Pivot)
Predictive Analytics Functions (e.g. outlier detection, linear & logistic regression, k-means, naïve bayes, random forest, confusion matrix, etc.)
Fault Groups, Key Value interface
Live Aggregate Projections, Flattened Tables, Text Search
Is your aging data warehouse system running out of gas? Download this report and learn how you can easily update your data warehouse to handle more data and complex analytics without spending millions in additional capacity expansion costs.