The TPC-DS benchmarking results between Snowflake and Databricks have sparked debate about the relevance of these classic benchmarks in today's modern database market, where vendors are seeking to demonstrate their capabilities beyond table stakes. The author argues that running these benchmarks is not necessarily a competitive advantage, as most popular analytical databases should have similar performance at most scale factors, and that the key techniques needed to build a database that can run them competitively are well-documented in the literature. A more general-purpose relational database like SingleStore offers added flexibility by combining good analytical capabilities with support for high-throughput reads and writes, making it suitable for both transactional and analytical workloads, and providing a unifying data layer for simplifying data architecture across workloads and storage types.