Modernizing HBase Workloads with TiDB at Pinterest

Overview

As the leading visual discovery engine for over 430 million MAU, Pinterest handled more than 1.3 million QPS. HBase, their critical storage backend could not serve their growing needs. They evaluated more than 10 storage backends, they replaced HBase with TiDB database. What made TiDB database the best candidate? What were the key wins after deploying TiDB database? For more details, check out this speech given by Ankita Wagh, Senior Software Engineer at Pinterest.