Ensures extremely high query concurrency, while simultaneously loading new data into the system. Use Flex Tables to query unstructured data in your system.
Conduct the analytics computations closer to the data with in-database Machine Learning, and get immediate answers from a massively scalable analytical platform, all based on SQL. And, import models built in other platforms and languages like Spark, Python, and SPSS using the PMML format. Models built in Vertica can also be exported for scoring in other systems such as edge nodes for IoT use cases.
Tune and control your queries with minimal administration using Vertica’s Database Designer and Administration Tools. Spend less time identifying performance problems and optimizing a database physical design.
Leverage columnar data storage for significant gains in performance, I/O, storage footprint, and efficiency.
Vertica delivers a simple, yet highly robust and scalable MPP analytical database for the masses with linear scaling and native high availability on industry-standard hardware.
With support for all leading BI and visualization tools, open source technologies like Apache Hadoop, Kafka and Spark, you can streamline the transition to Vertica to modernize your analytics ecosystem.
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 with on-premises object storage makes flexible, adaptive analytics possible in your data center.
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.