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Vector Database Comparison: Which One Should You Use?

Vector databases store and search high-dimensional embeddings for semantic similarity. Choosing the right one depends on your scale, deployment model, and feature requirements.

Quick Comparison

DatabaseTypeBest ForOpen Source
QdrantDedicated vector DBProduction, high performance, filteringYes
pgvectorPostgreSQL extensionExisting PG users, small-medium scaleYes
PineconeManaged cloudZero-ops, fast startNo
WeaviateMulti-modalText + images, GraphQL APIYes
MilvusDistributedBillion-scale datasetsYes
ChromaDBEmbeddedPrototyping, local devYes

Learn Vector Database Engineering

Module 4 covers vector database internals, indexing algorithms, and production deployment.

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This page is a focused entry point into the larger course. Use it to understand the vocabulary, the production problem, and the first practical module to open next.

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