In a blog post on Wednesday, Amazon CTO Werner Vogels explained the types of things AWS will enable for JSON documents. I’ve heard it referred to numerous times as the fastest-growing service within the AWS portfolio and, true or not, it’s almost certain to receive a boost in users with the new capabilities.Īlthough MongoDB is wildly popular, in part because it’s so easy to use, and the eponymous company behind it has raised well over $200 million in venture capital, the product has been dogged by questions about its scalability. DynamoDB is fully managed service which eases, building and scaling a NoSQL. Results sorted by primary key and are limited to 1MB. Needs a partition key attribute name and a distinct value to search. Launched in 2012, AWS’s DynamoDB has traditionally been more like a key-value store, although it could store JSON documents. Query primary search operation to find items in a table or a secondary index using only primary key attribute values. For example, you work with DynamoDB data types directly.
#DYNAMO JSON QUERY NOSQL AMAZON CODE#
Of the three models, the object persistence model is the easiest to code against whenever you are storing, loading, or querying DynamoDB data. JSON is the preferred format for data generated by many web applications and other situations where it’s preferable to serve data in a machine-readable manner (think “the internet of things”), and MongoDB is the most-popular database around for storing, serving and querying JSON data. You access this model through the namespace.
Amazon Web Services (AWS) is stepping up its presence in the NoSQL database market, and the competition with MongoDB, by adding support for JSON documents to its already-popular DynamoDB service.
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