Data Analytics Customers Value Choice and Simplicity; Teradata’s New Flexible Cloud Pricing Provides Both

Innovative cloud pricing models include Blended Pricing – for the lowest cost at scale – and Consumption Pricing – for a true pay-as-you-go, usage-based offer

Recognizing that data analytics workloads, usage patterns, and utilization rates can vary widely across an organization, Teradata, the cloud data analytics platform company,  announced flexible cloud pricing options to make it easy for enterprises to grow, and benefit from data analytics in the cloud.

In keeping with Teradata’s aim to provide its customers with simplicity and choice, the company now offers two flexible cloud pricing models: Blended and Consumption. Blended Pricing is best suited for high usage and provides the ultimate in b****** predictability while delivering the lowest cost at scale. Consumption Pricing is an affordable, pay-as-you-go option best suited for ad hoc queries and workloads with typical or unknown usage that delivers cost transparency for easy departmental chargeback.

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“If 2020 has taught us anything, it’s that change happens fast, and having simple, flexible cloud pricing options gives customers the freedom needed to optimize their data analytics investments,” said Hillary Ashton, Chief Product Officer at Teradata. “Different analytic use cases have vastly different utilization patterns at different points in time, which means that having choice in pricing models enables Teradata to offer the best one for each customer scenario ranging from a small ad hoc discovery system to a large production analytics environment.”

Through decades of catering to data analytics needs spanning dozens of business cycles, Teradata understands deeply what is required for firms to extract the most value from their data. Blended Pricing, which is based primarily on capacity, is optimized for high or predictable utilization. Consumption Pricing is optimized for typical to low utilization, unknown future usage, or for tactical business analytics that include frequent ad hoc queries. The ability for Teradata customers to choose the most appropriate cloud pricing model for data analytic workloads facilitates financial governance and can improve customers’ return on investment.

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“The convenience of a true consumption-based pricing model – determined by actual usage of the Vantage platform for running successful queries, rather than just available capacity – is a win for customers who want to better align their investment with specific analytic outcomes,” added Ashton. “It also corrects outdated perceptions about the cost required to become a Teradata customer, since there is now a r********, zero down option to pay only for what’s used with Vantage, the industry’s best cloud data analytics platform.”

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