Wag!, a dog-walking service, has adopted SingleStore to handle its rapid growth by processing large amounts of real-time data. The company's database was reaching its maximum computing capacity due to the high number of writes and delays on database replicas, causing lag and preventing it from scaling read queries. By migrating to SingleStore, Wag! reduced its average CPU utilization to the high teens and is now able to handle spikes in traffic smoothly. With SingleStore's support, scalability, and performance capabilities, including pipelines, rowstore, columnstore, and geospatial data type features, Wag! aims to further optimize its operations and explore new features such as Pipelines to Stored Procedures and a publicly accessible database of taxi data for student lab work.