Designing a Real-Time Data Warehouse

A real-time data warehouse is crucial for applications that require low-latency analytical queries over fresh data. Traditional data warehouses often fall short in meeting these requirements, which can lead to delays and decreased competitiveness. SingleStore has been pioneering real-time data warehousing for over a decade, offering an advanced architecture that supports continuous ingestion, processing, and querying of data with minimal latency. Its distributed SQL engine is built to facilitate real-time analytics, with immediate availability of real-time data on ingestion and ultra-low latency queries at high concurrency. The key design principles for a real-time data warehouse include real-time data ingestion, low-latency processing, performance optimized for both low latency and high concurrency, scalability, and ease of integration. SingleStore stands out as a top-tier solution that seamlessly integrates transactional and analytical workloads, handling high-velocity data streams and complex queries with minimal latency. Its architecture is designed to provide an enterprise-ready real-time data warehouse that can handle growing enterprise requirements without sacrificing ingest or read performance.