MyScale

MyScale is a SQL vector database built on open-source ClickHouse, unifying SQL database, vector database, and full-text search in a single system. It lets SQL-savvy developers build AI applications without learning new APIs, and its MSTG vector engine delivers a 10x boost in data density, optimized for RAG retrieval and vector search scenarios.

Core Capabilities

• SQL-native queries: Vector search using standard SQL syntax with zero learning cost, supporting complex WHERE clause filtering
• MSTG vector engine: A proprietary vector search engine leveraging NVMe SSDs for 10x data density, with a single Pod storing 10 million 768-dimensional vectors
• Unified data platform: Manages structured data, vector data, full-text search, and JSON data together, cutting infrastructure complexity by 60%
• High-performance filtered search: A columnar storage architecture delivers 10x better filtering performance than row-based databases, supporting joint SQL WHERE and vector search queries
• Multimodal data support: Handles numeric, datetime, text, geospatial, JSON, vector, and time-series data types
• Mainstream framework integrations: Deep integration with LangChain, LlamaIndex, OpenAI, and Dify, with Python, Node.js, and Go clients

Use Cases RAG knowledge bases, enterprise Q&A systems, academic research platforms, legal document review, financial analysis, customer support, image search, AI chatbots, and other complex AI applications that must handle both structured and vector data — especially retrieval scenarios demanding high-precision metadata filtering.

Unique Advantages While dedicated vector databases like Pinecone and Milvus require learning new APIs, MyScale lowers the learning curve with SQL. Official figures show query speeds 10x faster than Pinecone s1 Pods, 3.6x better cost-performance than dedicated databases, and 60% lower infrastructure costs. Built on the mature ClickHouse stack, stability is assured.

Editor's Review The technical architecture is solid — built on battle-tested ClickHouse — and the MSTG vector engine's performance claims are attractive. The free tier supports 5 million vectors and paid plans start at $68/month, friendly to cost-sensitive teams. The only concern is a 0.4% market share indicating an early-stage product with relatively limited user case studies and community resources. SQL-fluent dev teams are advised to start evaluating on the free tier to verify it meets performance needs.