The KISS principle suggests using a simple solution when it works, but many people mistakenly believe that this means only using single-node DBMSs like MySQL, PostgreSQL, or SQL Server. However, scale-out databases, such as SingleStore, can actually simplify things by providing a scalable and performant solution for medium-to-large data sets, enabling digital transformation initiatives and unlocking the value of data. Scale-out databases are designed to be run across machines, which allows for vertical scaling up to larger machines or horizontal scaling out to multiple nodes, making them more suitable for applications with large data sets that require fast response times and high concurrency. By using a scale-out database, developers can avoid complex solutions like pre-calculated aggregate tables and materialized views, and instead leverage the power of sharding and reference tables to simplify their design. Additionally, modern SQL-based scale-out databases are often compatible with standard SQL and many existing languages and tools, making it easy for developers to adopt them and transfer their existing skills to a new solution.