Company Research Report: SingleStore

Company Overview

• Name: SingleStore

• Mission: Empower the world's makers to build, deploy, and scale modern, intelligent applications by allowing users to transact, analyze, and contextualize data in real time.

• Founded: 2011, originally as MemSQL

• Founders: Nikita Shamgunov, Adam Prout, Erik Frankiel

• Key People:

• Raj Verma, CEO

• Robert O'Donovan, CFO

• Andy Wild, CRO

• Madhukar Kumar, CMO

• Jay DeGooyer, Chief Legal Officer

• Nadeem Asghar, Head of Engineering

• Mick Charles, SVP of Operations

• Headquarters: 388 Market Street, Suite 860, San Francisco, CA 94111, USA

• Number of Employees: No information is available

• Revenue: No information is available

• Known For: World's fastest distributed SQL database for real-time applications and analytics, combining transactional (OLTP) and analytical (OLAP) processing in a single platform.

Products

1. SingleStoreDB

• Product Type: Distributed SQL database

• Key Features:

• Unification of transactional and analytical workloads

• High performance and scalability

• Multi-model capabilities including relational, JSON, and time-series

• Real-time data ingestion and analytics

• Security, high availability, and compliance

2. SingleStore Helios

• Product Type: Cloud database-as-a-service

• Key Features:

• Elastic scalability and high availability

• Real-time analytics without data infrastructure management

• Support for AI workloads with built-in data integration services

• Fast ingestion and querying capabilities

3. SingleStore Kai™

• Product Type: API for MongoDB

• Key Features:

• Improved query speed up to 100x on JSON analytics

• Support for vector database operations

Recent Developments

• Acquisition of Bryteflow: Expansion of data integration capabilities.

• New Product Launches: Extended features in SingleStore Kai™ for performance enhancements and analytics capabilities.

• Partnerships: Enhancements to the generative AI ecosystem through collaboration with platforms like OpenAI, AWS Bedrock, and more to support AI-driven applications.

Conclusion

SingleStore stands out in the market for its ability to combine transactional and analytical workloads in a single, powerful data engine that supports real-time applications and analytics. This capability is enhanced by strategic product development and acquisitions that improve data integration and analytical performance, alongside the fostering of partnerships to expand its support in AI ecosystems.