A Comparison : DynamoDB vs. MongoDB

The development of modern mobile applications with simple and interactive UI is the need of the hour. With so many cross-platforms, it is difficult to evaluate and select a framework that saves time and cost and is equally efficient in the process of developing hybrid mobile apps.

Below is a comparative analysis between two widely used frameworks namely DynamoDB and MongoDB.

DynamoDB: DynamoDB is a fully managed NoSQL database developed by Amazon Web Services. Amazon DynamoDB is designed for applications that require consistent, single-digit millisecond latency at any scale. DynamoDB can manage and store any amount of data in a very cost-effective manner. A key feature of DynamoDB is that it can handle any level of request traffic very quickly. DynamoDB uses a non-relational NoSQL database that facilitates the storage of documents, graphs and columns in its data models. In DynamoDB, all data items are stored on solid-state drives that focus on enhancing existing levels of performance and enable efficient handling of high-scale requests.

MongoDB: Mongo DB is a free and open source cross-platform document-oriented database program. It is classified as a NoSQL database program that uses JSON-like documents with SCHEMAS. MongoDB deals with ad hoc queries, indexing, replication, load balancing, file storage, aggregation, server-side JavaScript execution, capped collections, and transactions. Mongo DB also provides high levels of performance, availability and automatic scaling.

Comparative Analysis

Database Structure: DynamoDB uses tables, objects and attributes as its main components. MongoDB works on JSON-like documents to store schema-free data. A predefined structure of documents is not required here, whereas in DynamoDB primary keys are used to identify each element in a table and secondary indexes to provide greater query flexibility.

Index: DynamoDB provides an option to create a secondary index specifying its main attributes that can be queried or scanned. DynamoDB lacks a query optimizer, so a secondary index is used to query or scan. In MongoDB, indexes are extremely important. If an index is missing, each document must be browsed to select the document actually requested by the query. This reduces the reading time.

Deployment: DynamoDB was written in JAVA and supports programming languages like JAVA, JAVAScript, swift, Node js, .NET, PHP and Python. MongoDB was written in C++. It supports languages like C, C#, C++, D, DART, Scala, JAVA, JAVAScript and various others.

Security: DynamoDB is backed by AWS and access is granted with IAM which is more secure and powerful as compared to MongoDB. MongoDB on the other hand is vulnerable to breaches and attacks as any data can be modified by anyone at any point in time.

Both DynamoDB and MongoDB are dominant systems that have made a serious impact in the data storage landscape over the past decade. It’s no secret that DynamoDB is used as the foundational building block for both Amazon Retail’s business and other AWS services, which shows. DynamoDB is reliable and can handle high levels of throughput and database size.

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