PlanetScale Vectors
Vector search and storage for MySQL, now generally available. PlanetScale Vectors brings native vector capabilities to MySQL, allowing you to store and query vector embeddings alongside relational data without requiring a separate vector database.
About this tool
Overview
PlanetScale Vectors is a native vector search and storage solution built directly into MySQL. The service moved to general availability in 2025, bringing production-ready vector capabilities to the MySQL ecosystem.
Key Features
- Native MySQL Integration: Store vector data alongside relational data with full ACID transaction support
- Advanced Indexing: Based on Microsoft Research's SPANN (Space-Partitioned Approximate Nearest Neighbors) and SPFresh algorithms
- High Performance: 2x query performance improvement and 8x better memory efficiency since beta
- Large-Scale Support: Vector indexes perform well even when 6x larger than available memory
- Multiple Distance Metrics: Supports Euclidean (L2), inner product, and cosine distance
- High Dimensionality: Stores vectors up to 16,383 dimensions
- Quantization Support: Both fixed and product quantization available
- Standard SQL: CREATE VECTOR INDEX and SELECT statements work with standard MySQL syntax
Technical Implementation
Vectors are first-class citizens in PlanetScale MySQL:
- Writes and queries work like any other RDBMS operation
- Full JOIN and WHERE clause support in SELECT statements
- Transaction support with commit/rollback capabilities
- ALTER or CREATE VECTOR INDEX for index management
Use Cases
- Semantic search applications
- Recommendation engines
- RAG (Retrieval-Augmented Generation) systems
- Similarity matching alongside transactional data
- Hybrid SQL and vector workloads
Pricing
PlanetScale operates on a usage-based pricing model with vector-specific costs for storage and queries. Details available on the PlanetScale pricing page.
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Websiteplanetscale.com
PublishedMar 11, 2026
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