Databases are crucial for storing and processing data efficiently, but single-node databases like MySQL can become apparent limitations as businesses grow, particularly with larger datasets and real-time analytics. MySQL struggles with slow ingestion and analytical performance, lacks advanced features such as column-store indexes and materialized views, and can incur higher costs due to inefficient resource utilization. In contrast, SingleStore offers high throughput parallelized data ingestion and retrieval, supports both transactional and analytical workloads seamlessly, and eliminates the need for multiple databases, reducing complexity while ensuring superior performance and faster data processing. Migrating from MySQL to SingleStore can be done in five easy steps using SingleStore's native Change Data Capture (CDC), which allows for real-time data processing and effortless scalability.