Instead, the data is distributed across many machines- this guarantees scalability and high performance, but it also means you can’t connect to a database host and query your data directly. There isn’t one single server hosting your DynamoDB table. You can reference specific items in a table by using the primary key, or by creating indices of your own and using the keys from those indices. Each table must have a primary key, present in all items within the table, and this primary key can be either a single attribute or a combination of two attributes: a partition key and a sort key. ![]() Each table contains a set of items, and each item has a set of fields or attributes. Ike other databases, DynamoDB stores its data in tables. DynamoDB is proprietary to AWS and is based on the principles of Dynamo, a storage system that Amazon developed for its own internal needs between 20. This means it doesn’t store data in a structured, relational mapping instead, it stores JSON objects in a simple key-value format. DynamoDB requires a minimal amount of setup and maintenance on the part of a developer while offering great performance and scalability.ĭynamoDB is a NoSQL key-value store. ![]() What is Amazon DynamoDB?Īmazon DynamoDB is a fully managed NoSQL database service offered by Amazon Web Services (AWS). At the end of the article we include a number of resources for you to learn more about DynamoDB and many code samples of using DynamoDB with Serverless framework. Many Serverless Framework users are curious about DynamoDB, so we’ve answered all the most common questions around what is this datastore, what to expect when operating it in production and what’s the DynamoDB pricing like. Are you considering using Amazon DynamoDB in production and trying to learn about its benefits and drawbacks at scale? Or are you evaluating multiple datastore options and want to see how does DynamoDB compare to them? This article is for you.
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