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DynamoDB Applied Design Patterns

You're reading from   DynamoDB Applied Design Patterns Apply efficient DynamoDB design patterns for high performance of applications

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Product type Paperback
Published in Sep 2014
Publisher
ISBN-13 9781783551897
Length 202 pages
Edition 1st Edition
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Author (1):
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Uchit Hamendra Vyas Uchit Hamendra Vyas
Author Profile Icon Uchit Hamendra Vyas
Uchit Hamendra Vyas
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DynamoDB versus MongoDB

Both DynamoDB and MongoDB are NoSQL databases used to build for high scalability, high performance, and high availability. The main difference between the two is that DynamoDB is a service provided by Amazon AWS, so it can only run in AWS. MongoDB is a software application provided by the database company MongoDB Inc (formerly known as 10gen Inc), which can be installed and run anywhere. From the data model point of view, DynamoDB is a key-value database, which means that it's a columnar database, whereas MongoDB is a document-oriented Database. DynamoDB abstracts all the operations details of replication and sharding of the database from the end user, but in MongoDB we have full access to the source code and can dig into the file formats. This might be an advantage or a disadvantage. MongoDB uses internal memory to store the (windowed) working set, enabling faster access to data. So if our datasets are much larger than the accessible memory, then DynamoDB...

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