Singlestore

SingleStore is a unified database platform designed to power high-performance, data-intensive applications and enterprise AI workloads. It combines transactional (OLTP) and analytical (OLAP) processing in a single engine, enabling organizations to run real-time analytics and operational workloads on the same data without complex pipelines. The platform is built to support low-latency queries at scale, making it suitable for modern, data-driven applications that require immediate insights and responsiveness.

SingleStore offers multi-model data support, including vectors for AI and semantic search, full-text search, JSON, time-series, and relational data, all within one system. Its distributed, in-memory and disk-based architecture allows for horizontal scaling and high concurrency, while maintaining strong SQL compatibility for ease of adoption. The platform supports streaming data ingestion from sources like Kafka and CDC pipelines, enabling continuous processing of real-time data. Advanced indexing, columnstore capabilities, and vector functions allow AI applications to efficiently store embeddings, perform similarity search, and join them with transactional and historical data.