SingleStore

SingleStore is a database company founded in 2011 in San Francisco, United States, originally as MemSQL, that set out to remove the need for separate transactional and analytical database systems by processing both workloads in one engine.

Its distributed SQL database unifies transaction processing, analytics and vector search for AI applications in a single system, letting applications query fresh operational data in real time instead of waiting for overnight batch loads into a warehouse; the company reports serving over 100 customers with more than $1B in annual recurring revenue across more than 50 countries.

1. Unified engine: transactional and analytical workloads run on the same distributed SQL database.

2. Real-time queries: applications read fresh operational data without waiting for batch loads.

3. Vector search: native vector data types support similarity search for AI and generative applications.

4. Distributed architecture: data is sharded and replicated across nodes for scale and resilience.

5. Standard SQL interface: teams query the database using familiar SQL and existing tooling.

6. Elastic scaling: compute and storage scale independently to match workload demand.