Decoding Multi-Model Databases: Five Distinct Approaches Behind the Label

Multi-model databases—from PostgreSQL extensions to native engines like ArangoDB and API platforms like Cosmos DB—are marketed identically despite employing fundamentally different architectural approaches. Understanding these distinctions is critical because a database can excel in native support yet prove operationally risky, while another may rank lower on technical metrics but deliver superior production stability. This analysis cuts through marketing claims to evaluate each approach across seven key dimensions: native support, depth, performance, developer experience, operational simplicity, ecosystem maturity, and production confidence.