The multi-cloud database service at the heart of our developer data platform that accelerates and simplifies how you build with data. Try MongoDB Atlas today!
schema flexibility (6)high scalability (8)flexible document model (6)dynamic schema (3)
How easily does MongoDB scale for sudden traffic spikes?
It scales horizontally via sharding on a well-chosen shard key. For sudden spikes, ensure your shard key distributes writes evenly (avoid monotonic keys like timestamps). Vertically, increase replica set resources. Remember to use connection pooling to handle connection storms. Atlas auto-scaling can help, but sharding strategy matters most.
What backup and point-in-time restore options exist?
Atlas (managed service) has daily backups with 35 day retention and point-in-time recovery (PITR) using oplog snapshots. For self-hosted (like i usually do), you can use mongodump for logical backups, filesystem snapshots for physical backups, or set up replica sets with oplog-based PITR. The oplog approach is preferred for production since it lets you restore to any moment within the oplog window (typically 24 hours by default, it's configurable).
What are best practices for change streams performance?
aggregation pipelines in change streams to filter events server-side rather than client-side.
Enable resumable change streams with resume tokens to handle network interruptions gracefully.
Monitor oplog size, if it's too small, resume tokens expire quickly.
MongoDB is a NoSQL database that gives developers the freedom to build fast, flexible, and scalable applications — without being locked into rigid schemas.
At Sparkwave Technologies, we prefer MongoDB when we need to work with dynamic data, real-time updates, or fast prototyping. Its document-based structure makes it perfect for modern web and mobile applications where the data model may evolve over time.
MongoDB is an excellent tool for storing data when you don't need to worry about schema validation. Excellent performance and scalability are also some of the reasons I use it for many projects.
What's great
fast performance (3)schema flexibility (6)high scalability (8)
MongoDB's document-based model is perfect for handling dynamic data structures like health logs and user preferences. It provides flexibility in data storage without the constraints of rigid schemas seen in relational databases like MySQL. For Quit Sugar, this allowed seamless integration of user-specific data, such as sugar intake, hydration levels, and custom challenges. MongoDB’s scalability ensures the app remains performant even as the user base grows.
What's great
schema flexibility (6)high scalability (8)flexible document model (6)dynamic schema (3)
We chose MongoDB for data storage because of its flexibility in handling unstructured and semi-structured data at scale. MongoDB’s document based model allows us to store complex metadata and insights without rigid schema constraints, making it ideal for fast iteration and evaluation at scale.
What's great
schema flexibility (6)high scalability (8)flexible document model (6)
MongoDB has been great to help get our app going and provide a solid offline mode - with the deprecation of their App Service platform, we'll be working to migrate to another database that includes Application Services (auth, sync, functions, triggers, etc).