Atlas 101 Overview
Atlas 101 Overview
Relational to NoSQL
DEVELOPER FRIENDLY
The Document Model aligns with how developers think, making it easier to code queries, manipulate data, and build applications effortlessly. Group related information naturally within documents, avoiding the need for separate tables and joins.
Interact through native language drivers
FLEXIBLE SCHEMA
Forget rigid structures. Add or remove fields as needed, perfect for evolving data or handling diverse entities. No schema migrations or forced data reformatting.
DISTRIBUTED AND RESILIENT
Document databases are distributed, which allows for horizontal scaling (typically cheaper than vertical scaling).
As databases grow in terms of data volume and throughput, MongoDB scales elastically with no downtime, and without application changes.
Distributed system by design -- native replication and automation failover.
Resources
Quickly try Atlas Search with the Atlas Search Playground. You can try different Atlas Search features by configuring search indexes and running queries without needing an Atlas account, cluster, or collection. You can also share a link to a snapshot of your Atlas Search Playground with others.