Tools You Can Use to Transition to the Cloud- MongoDB
Appropriately named, MongoDB (as in “humongous”) is a scalable, high-performance, open source, schema-free, document-oriented database.
MongoDB helps you bridge the gap between key-value stores (which are fast and highly scalable) and traditional RDBMS systems (which provide structured schemas and powerful queries).
Key features of MongoDB include dynamic queries, fast in-place updates, efficient storage of binary data, auto-sharding for cloud-level scalability and MapReduce for complex aggregation. MongoDB is well suited for scenarios like the operational data store of web site infrastructure, data caching, real-time performance counters and problems requiring high scalability or the ability to easily modify fields.
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Here’s MongoDB’s Philosophy
- Databases are specializing – the “one size fits all” approach no longer applies.
- By reducing transactional semantics the db provides, one can still solve an interesting set of problems where performance is very important, and horizontal scaling then becomes easier.
- The (JSON) document data model is easy to code to, easy to manage (schemaless), and yields excellent performance by grouping relevant data together internally.
- A non-relational approach is the best path to database solutions which scale horizontally to many machines.
- While there is an opportunity to relax certain capabilities for better performance, there is also a need for deeper functionality than that provided by pure key/value stores.
- Database technology should run anywhere, being available both for running on your own servers or VMs, and also as a cloud pay-for-what-you-use service.
