database-infrastructure

Vector databases are specialized database systems optimized for storing and querying high-dimensional vector embeddings used in AI applications like semantic search, recommendation systems, and machine learning workflows.

A comprehensive evaluation of pricing structures, deployment costs, and total cost of ownership for managed vector database services including Pinecone, Weaviate, Qdrant, and ChromaDB across different usage tiers and enterprise scenarios.