At SingleStore, every company should have the opportunity to become a real-time enterprise. Data drives business, and data management performance is crucial for successful business results. The need for performance in today's 24×7 business world requires companies to ingest data quickly, execute low latency queries, and support a large number of analytics users and data volume simultaneously. Distributed systems can remove single server performance and capacity constraints, enabling the strength of many to act as one. SQL is seen as a prerequisite for analytics success, but SingleStore also supports other data models like JSON, key-value models, geospatial data, and connectivity to Spark. The flexibility to store data from memory to disk is also essential, and companies need cloud choice to deploy solutions on any server configuration or public/private cloud. With the right architecture, transactions and analytics can occur within the same system, eliminating the ETL process and consolidating database and data warehouses for immediate insight into critical applications.