SingleStore is an Analytical Databases company founded in 2011 and based in San Francisco, United States. It has raised $457M in total funding, most recently a Series F in 2022 at a $1B valuation.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Jul 12, 2022 | Series F | $146M | $1B | Goldman Sachs |
| Jan 1, 2021 | Series F | $80M | — |
| — |
| Dec 8, 2020 | Series E | $80M | — | Dell Technologies Capital |
| Jan 1, 2020 | Debt | $50M | — | — |
| Jan 1, 2018 | Series D | $30M | — | — |
| Apr 21, 2016 | Series C | $36M | — | — |
| Jan 22, 2014 | Series B | $35M | — | Accel Partners, Khosla Ventures |
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A distributed SQL database combining in-memory rowstore and on-disk columnstore in a single engine, enabling both OLTP and OLAP workloads without data duplication. Designed for financial services, ad tech, and real-time dashboarding teams that need sub-second analytics on operational data. Supports ANSI SQL, full-text search, and vector search with ANN indexing delivering 800-1,000x faster nearest-neighbor search than exact KNN methods.
A built-in vector database capability integrated natively into SingleStoreDB, enabling hybrid search combining vector similarity, full-text BM25, and SQL filtering in a single query. Eliminates the need for a separate vector store alongside the operational database. Includes indexed ANN vector search, GPU/CPU on-demand compute, and database branching for safe experimentation on production data copies.
An AI-powered conversational analytics assistant embedded in SingleStore that allows users to explore insights across all their data using natural language. Converts business questions into optimized SQL and returns structured visualizations without requiring analyst intervention. Designed to be embeddable directly into customer applications, turning any SingleStore-backed app into an AI-native data experience.
12 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.