When to Use (and Not to Use) MongoDB
If you've been considering a jump to NoSQL, here's an overview of MongoDB and how it can help you and your work.
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Terminology and Concepts
If you're not familiar with MongoDB, here's a quick translation cheat sheet to get you familiar with the terminology.
|Joining||Linking & Embedding|
|Partition||Sharding (Range Partition)|
Making the Choice
Of course, your choice of database is always a decision based on pros and cons.
- Document oriented
- High performance
- High availability — Replication
- High scalability – Sharding
- Dynamic — No rigid schema.
- Flexible – field addition/deletion have less or no impact on the application
- Heterogeneous Data
- No Joins
- Data Representation in JSON or BSON
- Geospatial support
- Easy Integration with BigData Hadoop
- Document-based query language that’s nearly as powerful as SQL
- Cloud distributions such as AWS, Microsoft, RedHat,dotCloud and SoftLayer etc:-. In fact, MongoDB is built for the cloud. Its native scale-out architecture, enabled by ‘sharding,’ aligns well with the horizontal scaling and agility afforded by cloud computing.
- A downside of NoSQL is that most solutions are not as strongly ACID-compliant (Atomic, Consistency, Isolation, Durability) as the more well-established RDBMS systems.
- Complex transaction
- No function or stored procedure exists where you can bind the logic
- E-commerce product catalog.
- Blogs and content management.
- Real-time analytics and high-speed logging, caching, and high scalability.
- Configuration management.
- Maintaining location-based data — Geospatial data.
- Mobile and social networking sites.
- Evolving data requirements.
- Loosely coupled objectives — the design may change by over time.
Not so Good For:
- Highly transactional systems or where the data model is designed up front.
- Tightly coupled systems
And there you have it! Now, you've got a quick and easy overview of how MongoDB works, some use cases where it can shine, and how it relates to SQL technology.
If you enjoyed this article and want to learn more about MongoDB, check out this collection of tutorials and articles on all things MongoDB.
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