Data infrastructure complexity is rampant in the industry, with modern applications built on top of multiple special-purpose databases. This approach, dubbed "data infrastructure sprawl," has been criticized for its drawbacks, including a steeper learning curve, more points of failure, and increased business costs. However, SingleStore claims to offer a better alternative by providing an all-in-one relational database that can support both transactional and analytical queries at any scale, leveraging in-memory and on-disk storage capabilities. With SingleStore, companies can rationalize their architecture, save money, and ensure that their application won't find a bottleneck at the database layer, making it a popular choice among startups, unicorns, and Fortune 10 companies alike. By using SingleStore, developers can simplify their development velocity, reduce technical debt, and improve overall performance, while also reducing the complexity and costs associated with managing multiple databases.