Data as of Oct 5, 2026A question buyers ask in Developer Backend & Vector Search Services.
Reviewed by Dimitry Apollonsky ·
easy on-premise deployment, Rust-based efficiency, and private data workflows
managing vector embeddings directly inside an existing PostgreSQL database
familiar relational infrastructure extended to store and query vectors
highly scalable production clusters requiring complete on-premise system control
embedded local storage workflows and fast disk-based prototyping
We ask the same underlying question in different ways.
Chroma emerges as the usual answer when projects require native vector storage without setting up an external bolt-on index.
