I always find it interesting to hear technologists use the concept of “good enough.” It’s usually in the context of an inferior or emerging technology player attacking a market leader. At Teradata, the concept of good enough just isn’t in our DNA. We work with the world’s leading companies who demand a competitive advantage—so “good enough” doesn’t cut it for them. They strive to be the best so they require the best. Teradata is the heartbeat of mission-critical, multi-petabyte systems that supply analytics to hundreds of applications and thousands of users for the most innovative companies in the world.
Featherweights like Snowflake want to stand toe-to-toe with the heavy hitters, so they try to punch above their weight class by making outlandish marketing claims about their basic cloud-only data warehouse solutions. We usually ignore their outlandish marketing claims, but sometimes…well…they need to be called out.
Industry analysts consistently verify that Teradata is the heavyweight champion for
analytics at scale. Gartner just published their
Critical Capabilities for Data Management Solutions, where Teradata scored No. 1 in Real-time Data Warehouse, No. 1 in Logical Data Warehouse, and No. 1 in Traditional Data Warehouse. And, we achieved a perfect 5 score in Advanced Analytics and Performance — Teradata was the only vendor to achieve a perfect score. Snowflake, which has a laughable “retire Teradata” marketing campaign, didn’t even rank in the top five in three of the four categories.
At Teradata, we work with the world’s leading companies who demand a competitive advantage—so “good enough” doesn’t cut it for them. They strive to be the best so they require the best.
With Teradata, you’re not locked into a single deployment option. We’re optimized for AWS, Azure, and Teradata clouds, and the same high-performance software runs on-premises and in cloud—providing flexibility and application portability. And…surprise!…we’re priced competitively while offering so much more. Oh, and our pricing doesn’t skyrocket as usage increases like Snowflake’s does.
So here’s the question. If you can get the heavyweight champion in analytics for about the same price as the featherweight, why would you settle for good enough?