Caught a fascinating .NET Rocks podcast this morning discussing MongoDB, a NON-relational dbms. Kind of like honest politicians, the possibility of such a thing is theoretically possible but not something you expect to ever actually see. I’m still not sure I have my head wrapped around how to best use it, but it’s hard to argue with the (claimed) vastly improved performance and scalability over traditional RDBMSes!
Interesting little sidenote, apparently the original paper that described the relational database model was published 40 years ago, maybe it is time to look at more advanced approaches…
Combining the best features of document databases, key-value stores, and RDBMSes.
MongoDB (from “humongous”) is a scalable, high-performance, open source, schema-free, document-oriented database. Written in C++, MongoDB features:
* Document-oriented storage (the simplicity and power of JSON-like data schemas)
* Dynamic queries
* Full index support, extending to inner-objects and embedded arrays
* Query profiling
* Fast, in-place updates
* Efficient storage of binary data large objects (e.g. photos and videos)
* Replication and fail-over support
* Auto-sharding for cloud-level scalability
* MapReduce for complex aggregation
* Commercial Support, Hosting, and Consulting
MongoDB bridges the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems (which provide structured schemas and powerful queries).
Devmanic - Software Development Mania 