Hence, DynamoDB can scale horizontally, making DynamoDB a more scalable service than DocumentDB.įurthermore, DynamoDB can store petabytes of data in a table with a 400KB per item constraint. For example, DocumentDB does not support a key-value data model, while DynamoDB supports it. However, these services are different in terms of the data storage model. Therefore, developers do not need to provision and manage SSDs, and storage clusters. Additionally, AWS fully manages these two services. DynamoDB and DocumentDB: Shared AttributesĪpart from both databases being NoSQL, these services can scale up on demand to query large datasets within a few milliseconds. Additionally, it can serve millions of requests per second, enabling developers to build highly available and low latency applications. It automatically replicates six copies of your data across 3 availability zones to offer a 99.99% availability. It offers a fully scalable, low latency service to manage mission-critical MongoDB workloads. DocumentDBĪmazon DocumentDB is a fully managed NoSQL database built for managing JSON data models. It also supports data ranging from 1 gigabyte to 1 petabyte, allowing developers to build demanding, responsive, scalable, and reliable applications. It offers single-digit millisecond latency and can scale up and down to serve more than 20 million requests per second. DynamoDB and DocumentDB: An Overview DynamoDBĪmazon DynamoDB is a serverless, fully managed NoSQL database that supports key-value and document data models. Therefore, this article will provide an in-depth review of Amazon DynamoDB and Amazon DocumentDB to understand each service and how they compare. However, both services have some unique features, and it is essential to understand the similarities and differences between these services to determine the most suitable NoSQL database service for your application. Amazon DynamoDB and Amazon DocumentDB are 2 of Amazon's most popular cloud-based NoSQL database solutions.
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