Highest performing analytics and machine learning at extreme scale.
Analyzing your data not only in place, but in the right place – without data movement – while supporting any major cloud deployment for fast and reliable read and write for multiple data formats.
Supporting machine learning at scale to transform the way your data scientists and analysts interact with data, while removing barriers and accelerating time to value on predictive analytics projects.
Future proofing your analytics with the freedom to deploy anywhere – on commodity hardware, across multiple clouds, and natively on any Hadoop distribution.
Bridging the gap between high-cost legacy EDWs and Hadoop data lakes with signature blazing fast ANSI SQL query execution at extreme scale.
As the criteria for data warehousing continues to evolve, tech research analysts are seeing new leaders in the drive for game-changing big data analytics.
January 28, 2021 9:00 am
A lot of enterprise analytics platform evaluations focus on query price-performance to the exclusion of other features that can have a huge impact on business value, and can cause major headaches if you don’t take them into consideration. In this webinar, we’ll go beyond price-performance, and focus on everything else needed to modernize your data […]
The Vertica Knowledge Base provides documents about hardware requirements for your database, how to connect to Vertica from our ETL and BI partners, and best practices guides that help you operate and monitor your database effectively.
The Vertica Blog publishes multiple posts each week that enable you to get the best out of your database. The blog features quick tips for everyday Vertica usage, expanded explanation of specific Vertica capabilities, and descriptions of how to use the new database features in each software release.
The User Forum is the best place to connect with Vertica engineers and other Vertica customers to get quick answers to problems or bottlenecks you are experiencing. Many Vertica experts monitor the User Forum daily to share their expertise.