Cosmos DB and MongoDB: NoSQL Databases for Flexible Schemas and Scale A practical guide to...
Cosmos DB and MongoDB: NoSQL Databases for Flexible Schemas and Scale
A practical guide to two of the most widely used NoSQL databases — Azure Cosmos DB and MongoDB — covering the document data model, schema flexibility, partitioning/sharding, consistency models, indexing, and how to choose between them (and against a relational database).
Table of Contents
Introduction
Why NoSQL, and Why Document Databases Specifically
I published a comparison of Azure SQL, Cosmos DB, and Blob Storage a little while back. Looking back...
A practical framework for choosing PostgreSQL, MongoDB, or MySQL based on product shape, data integrity, reporting needs, and…
Choosing between relational and non-relational databases is one of the most consequential architectural decisions teams make when…
The "schemaless" database has had JSON Schema validation since 2017. Here's what you're...
The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and…
Many MongoDB journeys start with “Let’s just store it as JSON for now.” Maybe it’s a product catalog...
