Name: PlanetScale Vectors
Brand: Ever Works
Availability: InStock

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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