There are databases, data warehouses, and data lakes that cater to distinct purposes and have unique capabilities. Databases excel at handling structured, transactional data, powering applications, and ensuring efficient data retrieval. Data warehouses provide a holistic view of business by consolidating data from various departments and systems, enabling complex business questions, tracking KPIs, and uncovering hidden opportunities. Data lakes offer flexibility to handle diverse mixes of raw data, providing scalability, cost-effectiveness, and flexibility for advanced analytics, machine learning, and data discovery. Each solution has its strengths and weaknesses, and choosing the right one depends on the nature and purpose of your data, as well as your processing requirements and budget constraints. SingleStore bridges the gap between transactional and analytical workloads, providing a unified platform that eliminates the need for separate systems and complex ETL pipelines.