Migrating to NoSQL – MongoDB
Conclusion
All NoSQL databases operate on similar principles: Lots of RAM and fast disks usually enhance performance; however, you should pay attention to the differences and tradeoffs, as you would any new technology.
Given MongoDB's popularity and widespread use, a great deal of knowledge has been shared online, in mailing lists, and at conferences. As a result, MongoDB use cases encompass everything from general-purpose to high-performance databases.
Infos
- 10gen website: http://www.10gen.com/leading-nosql-database
- Hype cycle: https://en.wikipedia.org/wiki/Hype_cycle
- MongoDB is web scale video: http://mongodb-is-web-scale.com/
- MongoDB FUD: http://blog.serverdensity.com/does-everyone-hate-mongodb/
- HTTP REST API: http://docs.mongodb.org/ecosystem/tools/http-interfaces/
- Drivers and client libraries: http://docs.mongodb.org/ecosystem/drivers/
- Data modeling: http://docs.mongodb.org/manual/core/data-modeling/
paddingFactorimplications: http://tebros.com/2010/11/mongodb-paddingfactor-implications/- BSON spec: http://bsonspec.org
- Replication: http://docs.mongodb.org/manual/replication/
- MongoDB benchmarks: https://blog.serverdensity.com/mongodb-benchmarks/
- MongoDB Manual 2.4.4: http://docs.mongodb.org/manual/core/sharded-cluster-internals/
The Author
David Mytton founded the London MongoDB User Group and has one of the oldest production MongoDB deployments. He is the founder of http://www.serverdensity.com – a SaaS tool for server monitoring and cloud management.
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