datastores.ai
SingleStore

SingleStore

TraditionalNewSQL

Unified transactional-analytical DB with vector search

CategorytraditionalLanguageC++ / GoLicenseProprietaryWebsitewww.singlestore.com

About SingleStore

SingleStore is a unified database platform that combines transactional and analytical workloads with vector search capabilities. It enables real-time analytics and semantic search within a single system, supporting modern AI applications. SingleStore's architecture is optimized for performance and scalability, making it suitable for large-scale AI and data-intensive workloads.

Key features

Unified HTAP + vector engine
Standard SQL interface
Real-time analytics
Distributed architecture
JSON & full-text support
Cloud & on-premise deployment

Pricing

Free (Shared)$0
Limited resources
StandardPay-as-you-go
 
EnterpriseCustom
 

Common use cases

Real-time analytics + AI
Unified operational + vector queries
Financial services
Telco & IoT

Common questions about SingleStore

How do I add vector search to SingleStore?

SingleStore includes vector search capabilities through extensions or built-in features. Check the official documentation for installation and configuration instructions.

Should I use SingleStore for vector search?

If you're already using SingleStore, adding vector search can be simpler than introducing a new database. However, dedicated vector databases may offer better performance and features at scale.

What are the main use cases for SingleStore?

SingleStore is commonly used for real-time analytics + ai, unified operational + vector queries, financial services, and similar applications requiring semantic similarity search.

Does SingleStore integrate with popular AI tools?

Most vector databases integrate with LangChain, LlamaIndex, and popular embedding providers. Check the SingleStore documentation for specific integration guides and examples.

Not sure if SingleStore is right for you?

Compare it side-by-side with other vector databases to find the best fit for your project.