DingoDB
ActiveDescription
A multi-modal vector database that supports upserts and vector queries using unified MySQL-compatible SQL on structured and unstructured data, meeting high concurrency and ultra-low latency requirements.
A multi-modal vector database that supports upserts and vector queries using unified MySQL-compatible SQL on structured and unstructured data, meeting high concurrency and ultra-low latency requirements.
AI Data Runtime for Agents. Provides serverless Postgres with a multimodal datalake, enabling scalable retrieval and training. Unifies vector storage, dataset management, and streaming data loading for AI agent workflows.
A lightweight, lightning-fast, in-process vector database by Alibaba with C++ core, Node.js and Python bindings, designed for RAG, agent memory, and vector search use cases.
A Data Agent Ready Warehouse unifying Analytics, Search, AI, and Python Sandbox in one system. Runs on your S3 with built-in vector search, full-text search, and Python execution for AI-powered data analysis.
A high-performance vector database designed to handle up to 1 billion vectors on a single node, delivering significant performance gains through optimized indexing and execution. Also available as a cloud service.