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.
GSMA Intelligence predicts that by 2025, 1.2 billion people worldwide will have 5G connections. Are you ready for the growth in data that will come with it?
Read this Mobile World Live whitepaper to find out how mobile operators and telecommunications services providers can use machine learning and predictive analytics as a growth engine in the age of 5G.
Join Vertica’s Paige Roberts’ session at?9:00am-10:00am:?Strategies to Modernize Your Data & Analytics Architecture Data warehouses were analytics workhorses for decades, but couldn’t handle modern data volumes, types, and advanced analyses like machine learning. Big Hadoop promises about the data lake didn’t pan out. Learn how successful past, current and future architectures combine strengths of data […]
July 7, 2020 2:00 pm
Python is a powerful programming language that is a good choice for many types of analytics. It is rapidly becoming the language of choice for scientists and researchers of many types. Now by combining a massively parallel (MPP) database like Vertica with Python, you can overcome many scale and analytics challenges that can limit Python […]
July 14, 2020 1:00 pm
The complexities of cloud-based data at scale led Domo to use Vertica both to help power their flagship product and to glean metadata to tune and optimize their ecosystem. Their internal system, called “Domo4Domo,” uses a rules-based AI engine, with elements of machine learning, to identify and eliminate conditions that cause poor performance. By achieving […]
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.