// 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 unifies transactional processing, real-time analytics, SQL, vector and full-text search in one data platform. AI applications can retrieve current business records and relevant documents from the same database used for operational queries and reporting. The wider offering includes SQL-callable AI functions and natural-language analysis. Our Japanese pre-sales engineers confirm the edition, model hosting and data flows, then test the prospect’s queries, concurrency and access rules before deployment.
// 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
A self-managed database on customer infrastructure or in a VPC. The selected edition, network connections, updates and support arrangements define the deployment.
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, partners and environments
// Routes to market
Buyer groups and sales partners for SingleStore
For database vendors, the Japan work includes finding applications that need current data, testing queries and supporting the selected deployment. The roles below distinguish organisations that use SingleStore from partners that build, embed or resell it; each opportunity needs its own workload and commercial assessment.
Large Enterprise
initial focusFortune 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
initial focusSaaS and fintech teams considering SingleStore as the operational database behind their products. Test transactions, analytical queries and recovery against the proposed service workload.
SMEs / Mid market
application-dependentData-intensive software businesses considering a unified SQL platform. Confirm query latency, concurrency, operating effort and commercial fit using the proposed workload.
Government & Public Sector
application-dependentGovernment agencies and public research bodies needing large-scale real-time data infrastructure, typically delivered through SI partners.
System Integrators
initial focusJapanese 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)
initial focusSoftware vendors embedding SingleStore as the operational database inside their products to ship real-time analytics and AI features to their end customers.
MSSPs
specialist fitFor a security-analytics backend, assess the records to ingest, query performance and operations. SingleStore supplies a database; detection and response functions need separate application components.
Distribution Partners
application-dependentJapanese 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 runs transactional, analytical and vector queries in one distributed SQL database. Compare query performance, concurrent users, update rates and operating costs using the application’s own data.
| Capability | SingleStore | Snowflake | Databricks | PostgreSQL | Oracle Exadata | MongoDB | CockroachDB |
|---|---|---|---|---|---|---|---|
| Unified OLTP + OLAP in one engine (data engineering) | ● | — | ○ | ○ | ● | ○ | ○ |
| Operational query latency (workload-dependent) | ● | — | — | ● | ● | ○ | ○ |
| 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.
This table summarises product positioning from public vendor information. Confirm the edition, supported features and deployment requirements for your evaluation. Trademarks belong to their respective owners.
// Benchmarks
SingleStore by the numbers
Query Latency
Workload-dependent
Measure query latency with the proposed schema, data volume, concurrency and ingestion rate.
SingleStore TPC-DS AnalysisDeployment Flexibility
Cloud + On-Prem
Confirm region, support access, backups and telemetry for the selected deployment.
SingleStore// Architecture
Where SingleStore fits in the stack
// Hosting and data access
Evaluate SingleStore with the prospect’s IT team.
Check self-managed editions, supported infrastructure and the data paths used by ingestion, backups, external model calls and support.
Hosting, data access and operating responsibilities for the proposed deployment.
See the sovereignty approachConfirm the supported self-managed edition and operating requirements.
Check whether AI functions call an external model or service.
Document data, backup and log locations and administrator access.
// Latest Videos
// Recent News
Develop a Japan business for your data platform.
StrategyCore’s SingleStore work illustrates the local sales and technical support a database vendor needs. Discuss your own product’s target applications, supported connections and Japan account plan with our Tokyo team, including proposals, licensing and contracted support.