Fully Distributed, Shared Nothing Architecture – Amazon DynamoDB scales horizontally and can seamlessly scale a single table over hundreds of servers.You are still able to achieve your prior throughput levels while scaling is underway.
AWS PRICING DYNAMODB UPDATE
If your throughput requirements change, simply update your table's request capacity using the AWS Management Console or the Amazon DynamoDB APIs. DynamoDB allocates dedicated resources to your table to meet your performance requirements, and automatically partitions data over a sufficient number of servers to meet your request capacity. Provisioned Throughput – When creating a table, simply specify how much request capacity you require.Automated Storage Scaling – There is no limit to the amount of data you can store in a DynamoDB table, and the service automatically allocates more storage, as you store more data using the DynamoDB write APIs.Some of the features offered by Amazon DynamoDB are: It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.Īmazon DynamoDB belongs to "NoSQL Database as a Service" category of the tech stack, while Amazon Redshift can be primarily classified under "Big Data as a Service". Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. With DynamoDB, you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use Amazon Redshift: Fast, fully managed, petabyte-scale data warehouse service.
All data items are stored on Solid State Drives (SSDs), and are replicated across 3 Availability Zones for high availability and durability. Amazon DynamoDB vs Amazon Redshift: What are the differences?Īmazon DynamoDB: Fully managed NoSQL database service.
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