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Wednesday, January 24, 2018

Amazon DynamoDB Overview, a fully managed NoSQL database service ...
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Amazon DynamoDB is a fully managed proprietary NoSQL database service that is offered by Amazon.com as part of the Amazon Web Services portfolio. DynamoDB exposes a similar data model and derives its name from Dynamo, but has a different underlying implementation. Dynamo had a multi-master design requiring the client to resolve version conflicts and DynamoDB uses synchronous replication across multiple datacenters for high durability and availability. DynamoDB was announced by Amazon CTO Werner Vogels on January 18, 2012.


Video Amazon DynamoDB



Overview

DynamoDB differs from other Amazon services by allowing developers to purchase a service based on throughput, rather than storage. If Auto Scaling is enabled, then the database will scale automatically. Additionally, administrators can request throughput changes and DynamoDB will spread the data and traffic over a number of servers using solid-state drives, allowing predictable performance. It offers integration with Hadoop via Elastic MapReduce.

In September 2013, Amazon made available a local development version of DynamoDB so developers can test DynamoDB-backed applications locally.

It is said to be "built on the principles of Dynamo" (an internal storage system used initially for their own website).


Maps Amazon DynamoDB



Language bindings

Languages/Frameworks with a DynamoDB binding include Java, Node.js, C# .NET, Perl, PHP, Python, Ruby, Haskell and Erlang.

Amazon DynamoDB Design Patterns & Best Practices
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Pricing

Unlike traditional NoSQL deployments that ask you to think about memory, CPU, and other system resources that could affect your throughput, DynamoDB simply asks you to specify the target utilization rate and minimum to maximum capacity that you want for your table. DynamoDB handles the provisioning of resources to achieve your target utilization of read and write capacity, then auto scales your capacity based on usage. Optionally, you can directly specify read and write capacity if you prefer to manually manage table throughput.

The following table summarizes key DynamoDB pricing concepts.


Query/Read data from Amazon DynamoDB Table, Write JSON documents ...
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Performance

DynamoDB exposes performance metrics that helps provision it correctly and to keep applications using DynamoDB running smoothly:

  • Requests and throttling
  • Errors: ConditionalCheckFailedRequests, UserErrors, SystemErrors
  • Metrics related to Global Secondary Index creation

These metrics can be tracked using the AWS Management Console, using the AWS Command Line Interface, or a monitoring tool integrating with Amazon CloudWatch.


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See also

  • Spanner (database)
  • Azure Cosmos DB
  • Cloudant
  • Oracle NoSQL Database Cloud Service

Amazon DynamoDB April 2016 Day at the NY Loft - Optimizing ...
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References


Amazon DynamoDB - Demo using AWS Management Console - YouTube
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External links

  • Official website

Source of article : Wikipedia