MyScale
ExternalMyScale is a fully SQL-compatible vector database built on ClickHouse OLAP architecture, enabling high-performance vector search, full-text search, filtered queries, and complex SQL operations on datasets scaling from GB to PB. It features the MSTG index optimized for NVMe SSDs, delivering up to 3x faster speeds and significant cost savings compared to specialized vector databases. Ideal for SQL-savvy developers and enterprises developing cost-effective GenAI, RAG applications, and hybrid analytics workloads that demand efficiency and scalability.
Description
MyScale is a fully SQL-compatible vector database built on ClickHouse OLAP architecture, enabling high-performance vector search, full-text search, filtered queries, and complex SQL operations on datasets scaling from GB to PB. It features the MSTG index optimized for NVMe SSDs, delivering up to 3x faster speeds and significant cost savings compared to specialized vector databases. Ideal for SQL-savvy developers and enterprises developing cost-effective GenAI, RAG applications, and hybrid analytics workloads that demand efficiency and scalability.
Key capabilities
- Fully SQL-compatible vector database supporting vector search, full-text search, filtered search, and complex SQL queries
- MSTG vector index optimized for NVMe SSDs, offering 3x speed and savings
- Built on ClickHouse for scalability from GB to PB
- Integrates with OpenAI, LangChain, LlamaIndex, Hugging Face, and others
- Supports multiple vector indexes: MSTG, ScaNN, HNSW, IVFFLAT, and metrics like Cosine, L2, IP
Core use cases
- 1.Building GenAI and RAG applications with complex hybrid queries
- 2.Unified vector search and analytics platforms
- 3.Large-scale cost-sensitive enterprise AI projects
Is MyScale Right for You?
Best for
- SQL-familiar developers building GenAI/RAG apps for native SQL complex queries and cost-effectiveness
- Teams needing unified vector + analytics platform outperforming in hybrid workloads
- Cost-sensitive enterprise AI projects with 90%+ cost reduction via MSTG index
Not ideal for
- Users wanting simple prototypes without SQL, overkill vs lightweight like Chroma
- Postgres loyalists avoiding migration
- Pure vector search at ultra-low latency without analytics, less optimized than specialized DBs
Standout features
- High data capacity: 5M 768-dim vectors at 150+ QPS per pod
- Fast ingestion under 30 minutes
- Trusted by Tencent, AWS, Siemens, Cisco
Pricing
Standard
Development
Enterprise
Reviews
Based on 0 reviews across 0 platforms
User Feedback Highlights
Most Praised
- Superior cost-efficiency and performance, up to 3x faster and cheaper than competitors like Pinecone
- Easy for SQL developers to adopt without learning new APIs
- High data capacity and fast ingestion
- Trusted by major companies with praise for SQL support, integration, and cost reduction
- Better memory optimization and insertion speed than Pinecone or Redis
Common Complaints
- Occasional slow app connectivity delaying data syncing
- Pricing perceived as high relative to features by some users
- Smaller ecosystem and fewer integrations compared to mature competitors like Pinecone
- Less specialized for pure vector search workloads