Mongo

Flexible document schemas

MongoDB supports creating explicit schemas and validating data so it doesn’t get out of control, but this flexibility is an incredible asset when handling real-world data, and handling changes in requirements or environment.

Code-native data access

MongoDB technology store and represent data in a document format means that you can access it from any language, in data structures that are native to that language (e.g. dictionaries in Python, associative arrays in JavaScript, Maps in Java, etc.).

Powerful querying and analytics

What good is a database if you can’t find things inside it? MongoDB is designed to make data easy to access, and rarely to require joins or transactions, but when you need to do complex querying, it’s more than up to the task.

Easy horizontal scale out

MongoDB is designed from the ground up to be a distributed database. Create clusters with real-time replication, and shard large or high-throughput collections across multiple clusters to sustain performance and scaled horizontally.