Why Real-Time Execution Is Now Expected in Lakehouse Architectures

As expectations for real-time analytics rise, lakehouse architectures have become vital for unified storage and governance, but challenges remain in achieving low-latency performance under production workloads. The Forrester Research report highlights the need for continuous ingestion and analysis of streaming data, emphasizing that predictable execution, consistency, direct data paths, and efficient updates are crucial for real-time AI workloads. SingleStore's architecture addresses these requirements by unifying transactional and analytical workloads, reducing operational complexity, and ensuring data freshness and consistency. The shift towards real-time systems demands an execution engine that supports continuous ingestion, querying, and updating without frequent rewrites, making lakehouses essential for delivering real-time insights in production.