Real-time transactional and analytical database for streaming applications
SingleStore operates a distributed SQL database designed to handle both transactional (OLTP) and analytical (OLAP) workloads simultaneously on streaming data. The tech stack reveals infrastructure-heavy engineering: C++, Rust, Kubernetes, Kafka, and low-level optimization tools (LLVM, eBPF, GDB) indicate a performance-obsessed culture focused on query speed and fault tolerance. Active hiring is concentrated in engineering (10 roles), with senior and manager-level positions dominating, suggesting the company is scaling production capabilities and technical leadership rather than sales-driven expansion.
SingleStore builds a cloud-native database optimized for real-time applications that require simultaneous transactional and analytical processing. The product targets applications where data freshness drives business outcomes: fraud detection, dynamic pricing, and live dashboards. The company runs a distributed, shared-nothing architecture with MySQL compatibility, deployed across AWS, Azure, and GCP, plus a next-generation private cloud offering. Headquartered in San Francisco and employing 201–500 people, SingleStore operates with a technical-first sales model, reflected in active projects spanning query optimizer improvements, fault tolerance hardening, and ecosystem integration.
SingleStore's core stack includes C++, Rust, Kafka, Kubernetes, and optimization tools like LLVM, eBPF, and GDB. The platform runs on AWS, Azure, and GCP, with supporting infrastructure tools including Keycloak, NetBox, and open data formats (Parquet, Avro, CSV).
SingleStore is headquartered in San Francisco, California. The company is actively hiring in the United States and Portugal.
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SingleStore's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.