// Partner
SingleStore
Founded
2011
HQ
San Francisco, CA
Employees
500+
Total Funding
$558M
Status
Private
Website
VisitLeadership
Raj Verma (CEO)、Nadeem Asghar (CTO)
Last Round
Series F, $146M (2022)
Key Investors
// Overview
SingleStore is a distributed SQL database engine that unifies transactional, analytical, and vector search workloads in a single engine. Built for real time applications at scale, it removes the need for separate OLTP, OLAP, and vector databases, the ETL pipelines between them, and the data reconciliation they require. Enterprises use SingleStore to power fraud detection, real time personalization, operational dashboards, RAG retrieval on live data, and AI/ML feature serving, all from one engine that holds low latency query performance under high user concurrency at petabyte scale.
// Capabilities
- --Real Time Analytics
- --Distributed SQL
- --Unified Transactions, Analytics, and Search
- --Cloud and On Premise
- --Vector Search and RAG
- --AI and ML Model Execution from SQL
// Products
SingleStore Self Managed
On premise or VPC deployment for full data residency, compliance control, and air gapped environments.
SingleStore Helios
Fully managed cloud database with autoscaling on AWS, Azure, and GCP.
SingleStore Kai
MongoDB compatible API that runs document (NoSQL) workloads directly on the SingleStore engine.
Aura
AI and ML functions callable from SQL, with Aura Analyst for natural language querying and insight generation.
// Use Cases
Click a use case to see matching deployments below
// Customers
// Target Buyers
Who SingleStore sells to
SingleStore fits the buyer segments below. StrategyCore provides the local technical support, Japanese-language engagement, and commercial operations for both end-user customers and channel partners.
Large Enterprise
primaryFortune 500 and global enterprises running real-time analytics at scale, fraud detection, operational dashboards, and AI feature serving on unified transactional and analytical workloads.
SaaS Companies
primarySaaS and fintech companies (IEX Cloud, GoGuardian, dailyVest) using SingleStore as the operational database backing their data-intensive products at scale.
SMEs / Mid market
secondaryGrowing data-intensive scale-ups that need sub-millisecond query performance without running multiple specialized databases, though enterprise and SaaS are the primary GTM focus.
Government & Public Sector
secondaryGovernment agencies and public research bodies needing large-scale real-time data infrastructure, typically delivered through SI partners.
System Integrators
primaryJapanese SIs building custom data platforms and AI solutions for enterprise clients, using SingleStore as the core engine with StrategyCore providing local technical support.
OEMs (Embedded)
primarySoftware vendors embedding SingleStore as the operational database inside their products to ship real-time analytics and AI features to their end customers.
MSSPs
not a focusNot a core GTM motion for SingleStore. MSSPs occasionally use SingleStore for security analytics backends, but this is not the primary channel focus.
Distribution Partners
secondaryJapanese distributors reselling SingleStore to their enterprise customer base, with StrategyCore acting as the upstream support and enablement layer.
// Case Studies
Case Studies
Case study content is aggregated from publicly available vendor sources. All trademarks and customer attributions belong to the original vendors.
// Competitive Landscape
How SingleStore compares
SingleStore operates in the real-time data platform category, where the defining architectural choice is whether to run transactional and analytical workloads on separate systems connected by ETL, or to unify them on a single engine. SingleStore takes the unified approach, which targets use cases where sub-millisecond query latency on fresh data is a business requirement.
| Capability | SingleStore | Snowflake | Databricks | PostgreSQL | Oracle Exadata | MongoDB | CockroachDB |
|---|---|---|---|---|---|---|---|
| Unified OLTP + OLAP in one engine (data engineering) | ● | — | ○ | ○ | ● | ○ | ○ |
| Sub-millisecond query latency at scale | ● | — | — | ● | ● | ○ | ○ |
| Vector search in the same engine as transactions and analytics (no separate vector DB) | ● | ○ | ○ | ○ | ○ | ○ | — |
| AI feature serving and real-time ML inference | ● | ○ | ● | ○ | ○ | ○ | ○ |
| Streaming + batch on one engine | ● | ○ | ● | — | ○ | — | — |
| Full ACID transactions | ● | ● | ● | ● | ● | ● | ● |
| On-prem and cloud deployment | ● | — | — | ● | ● | ● | ● |
| MongoDB API compatibility | ● | — | — | — | — | ● | — |
// Competitor Reference
Snowflake
Cloud data warehouseAnalytics-first cloud warehouse with separated storage and compute.
Databricks
Lakehouse platformSpark-based lakehouse for data engineering and ML.
PostgreSQL / Amazon Aurora
OLTP relational databaseGeneral-purpose open source relational database.
Oracle Exadata
Legacy enterprise databaseOn-premises database appliance for mission-critical workloads.
MongoDB
Document databaseSchema-flexible document store popular with application developers.
CockroachDB
Distributed SQL databaseCloud-native distributed SQL for global transactional workloads.
Pinecone / Weaviate / Milvus
Dedicated vector databaseStandalone vector databases built for embedding search at scale, run as a separate system next to the operational data.
Comparisons reflect category positioning based on publicly available information. Vendor capabilities evolve; contact us for current detail. All trademarks belong to their respective owners.
// Benchmarks
SingleStore by the numbers
Deployment Flexibility
Cloud + On-Prem
Full data residency control for regulated industries
SingleStore// Architecture
Where SingleStore fits in the stack
// Sovereign in Japan
SingleStore, deployed under your buyer's control.
SingleStore runs on-premise or in a local private cloud, so the data engine and everything in it stays in country.
Sovereign data, sovereign AI, sovereign security.
See the sovereignty approachOn-premise or locally operated private cloud deployment.
Analytics and inference run in-database, so the data does not leave for a cloud AI platform.
Data residency and access governed in-country.
// Latest Videos
// Recent News
Do you build on SingleStore?
If your application runs on SingleStore, we can take it to Japanese enterprises that need real-time data kept in-country, and run the sales and support here for you.