The Extensibility of Vertica – User-Defined Extensions in Action

Presented by

Jeff Healey and Ryan Roelke, Vertica

About this talk

If you’re like most of our customers, your data pipeline includes custom analytic functions and data loaders written in C++, R, Python, and other languages. It’s important that your analytical database is extensible enough to ensure that you can leverage those functions and loaders. Join us for this Webcast to learn how Vertica has a highly extensible User-Defined Extension (UDx) framework that allows you to develop your own analytical or data loading tools within Vertica, including new types of data analysis and the ability to parse and load new types of data. As a result, routines written in C++, R, Java or Python can be run in-database as Vertica SQL functions, increasing the power and flexibility of procedural code by bringing it closer to the data. Learn all about the range of available Vertica UDXs, common use cases, and even how to write user-defined scalar and parser functions.

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The Vertica Unified Analytics Platform is built to handle the most demanding analytic use cases and is trusted by thousands of leading data-driven enterprises around the world, including Etsy, Bank of America, Intuit, Uber, and more. Based on a massively scalable architecture with a broad set of analytical functions spanning event and time series, pattern matching, geospatial, and built-in machine learning capability, Vertica enables data analytics teams to easily apply these powerful functions to large and demanding analytical workloads. Vertica unites the major public clouds and on-premises data centers, as needed, and integrates data in cloud object storage and HDFS without forcing any data movement. Available as a SaaS option, or as a customer-managed system, Vertica helps teams combine growing data siloes for a more complete view of available data. Vertica features separation of compute and storage, so teams can spin up storage and compute resources as needed, then spin down afterwards to reduce costs.