SingleStore

SingleStore is a real-time database platform designed to handle transactional, analytical, and vector workloads within a single engine. By unifying operational and analytical data processing, it eliminates the need for separate ETL pipelines and data copying across distinct databases.

The platform serves data teams, software engineers, and digital marketing or adtech operations needing low-latency data querying. It provides native support for relational tables, JSON, vector embeddings, and full-text search, making it suitable for real-time personalization, fraud detection, and enterprise AI applications.

SingleStore integrates with modern AI development tools and AI agents through its Aura Intelligence capabilities and Model Context Protocol (MCP) server. These capabilities allow developers to inspect database schemas and run queries directly from coding assistants and natural-language interfaces.

Key features

• Unified HTAP engine: Combines transactional (OLTP) and analytical (OLAP) processing in a single platform to serve real-time data without data movement.
• Aura Intelligence Analyst: Enables users to ask natural-language questions in plain English that automatically generate and execute SQL queries against live data.
• Context Engine: Maps schemas, definitions, and relationships at runtime to give AI agents shared context while reducing token usage.
• Vector and hybrid search: Combines native vector indexing with full-text search for semantic retrieval and recommendation workloads.
• Apache Iceberg integration: Provides bi-directional ingestion and write-back functionality to connect real-time operations with open data lakehouses.
• SQL AI functions: Allows teams to run model inference, embedding generation, text classification, and summarization directly inside SQL queries.
• MCP server integration: Connects developer environments like Cursor and Claude Code directly to live database schemas and data contexts.