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.
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.
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.
See also
- Spanner (database)
- Azure Cosmos DB
- Cloudant
- Oracle NoSQL Database Cloud Service
References
External links
- Official website
Source of article : Wikipedia
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