Vertica – Past, Present, and Future

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Presented by

Dr. Michael Stonebraker, MIT CSAIL; Colin Mahony and Joy King, Vertica

About this talk

Vertica was engineered from the very first line of code to handle the growing volume of data, and increased complexity of workloads required to power your data-driven world. As data continues to disrupt the way you do business and grow, Vertica continues to meet the technological requirements of your most demanding data-driven use cases and initiatives. Today, we power everything from predictive maintenance and customer behavior analytics, to smart agriculture, network analysis, fraud detection, and more, with advanced analytics and in-database machine learning. Join this webcast to discover the past, present, and future of the industry’s fastest and most scalable enterprise data warehouse on all public clouds, and on-premise data centers. • Dr. Michael Stonebraker, Vertica founder and 2014 Turing Award Winner, will discuss the origins of Vertica and the transformative C-Store paper, which ushered in a new era of read-optimized database technologies • Joy King, VP of Product Management and Product Marketing, Vertica, will discuss the countless industry-leading innovations that have brought Vertica to where it is today • Colin Mahony, SVP and GM, Vertica, will provide a glimpse into Vertica’s promising future – including our product roadmap and organizational priorities Vertica was built for the scale and complexity of your data-driven world. Find out why we’re uniquely positioned to help you manage the scale and complexity of tomorrow’s as well.

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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, 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.