MongoDB

MongoDB Atlas Database | Multi-Cloud Database Service | MongoDB

5.0•45 reviews•

426 followers

MongoDB Atlas Database | Multi-Cloud Database Service | MongoDB

5.0•45 reviews•

426 followers

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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!

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5.0

Based on 45 reviews

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Reviews praise MongoDB for flexibility, speed, and production-grade reliability. Makers of

Jupitrr AI

highlight Atlas’s auto-scaling, backups, and a document model that adapts as products evolve. Makers of

No More Copyright

emphasize confidence in security and dependable operations. Makers of

Migma AI

underscore a modern, flexible document approach. Broader feedback notes strong indexing, easy prototyping, real-time readiness, vector search options, and clear dashboards. A few caution that deprecations (e.g., App Services) can require migrations. Overall: developer-friendly and scalable.

+44

Summarized with AI

Pros

high scalability (8)

flexible document model (6)

schema flexibility (6)

dynamic schema (3)

fast performance (3)

Pros

Cons

Reviews

All Reviews

Most Informative

•2 reviews

What's great

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.
Consider sharded clusters for better throughput; change streams scale better there.
Batch process events rather than handling them one at a time.

Ratings

Ease of use

Reliability

Value for money

Customization

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8 views3d ago

used

MongoDB

to build QuitSugar

•6 reviews

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)

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1yr ago

•4 reviews

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.

What's great

NoSQL database (1)schema flexibility (6)high scalability (8)flexible document model (6)dynamic schema (3)

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1 view8mo ago

•2 reviews

What's great

schema flexibility (6)high scalability (8)flexible document model (6)dynamic schema (3)

How easily does MongoDB scale for sudden traffic spikes?

What backup and point-in-time restore options exist?

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.
Consider sharded clusters for better throughput; change streams scale better there.
Batch process events rather than handling them one at a time.

Ratings

Ease of use

Reliability

Value for money

Customization

Report

8 views3d ago

used

MongoDB

to build QuitSugar

•6 reviews

What's great

schema flexibility (6)high scalability (8)flexible document model (6)dynamic schema (3)

Report

1yr ago

•4 reviews

What's great

NoSQL database (1)schema flexibility (6)high scalability (8)flexible document model (6)dynamic schema (3)

Report

1 view8mo ago