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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 Cassandra

Let's start with a data model such as DynamoDB's storage model, which is very similar to Cassandra's model, in which data is hashed on the row key, and the data inside the key is ordered by a specific column of the insert. In DynamoDB, a column can be single valued or scalar, which means that attributes can be multivalued. Cassandra has various attribute types, such as Integer, BigInteger, ASCII, UTF8, and Double, and it also offers composite and dynamic composite columns. It provide the full range of data formats, which include structured, semi-structured and unstructured data that can be run on recent applications, whereas DynamoDB has only two attribute types, namely String and Number.

Multi-datacenter across all regions is supported by Cassandra, whereas DynamoDB replicates data across multiple availability zones in the same region, but cross-region is not supported. So if we want to provide local data latencies in any regions across the world...

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