Today's database systems face immense pressure to handle an ever-increasing number of concurrent users simultaneously, ensuring data integrity and consistency while maintaining high performance and low latency. Traditional relational databases often require complex tuning or vertical scaling to handle heavy concurrent workloads, which can limit scalability and increase operational complexity. SingleStore, a modern distributed SQL database, leverages innovative techniques such as multi-version concurrency control (MVCC) to handle significantly more concurrent users than traditional architectures. MVCC allows for non-blocking reads, consistent snapshots of data, and isolation from ongoing updates until transactions are committed, enabling superior scalability and handling high concurrency with low latency. By combining MVCC with a distributed shared-nothing architecture and in-memory processing, SingleStore achieves significant advantages over traditional databases, making it a compelling choice for applications requiring high concurrency and real-time performance.