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DynamoDB vs. MongoDB

DynamoDB vs. MongoDB

Development of modern mobile applications with a smooth and interactive UI is the need of the hour. Among so many cross-platforms, it is difficult to assess and choose one framework that saves time and cost, and is equally efficient in the process of the development of these hybrid mobile apps.

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

DynamoDB: DynamoDB developed by Amazon Web Services is a fully managed NoSQL database. Amazon DynamoDB has been designed for applications that require consistent, single-digit millisecond remission at any scale. DynamoDB can manage and store any amount of data in a very cost-effective way. One of the major features of DynamoDB is that it can cater to any level of request traffic very swiftly. DynamoDB utilizes a non-relational NoSQL database which facilitates the storage of documents, graphs, and columns among its data models. In DynamoDB, all data items are stored on solid-state drives which focus on increasing the existing level of performance and enables efficient handling of high-scale requests.

MongoDB: Mongodb is a free and open-source cross-platform document-oriented database programme. It is classified as a NoSQL database programme which 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 makes use of tables, items, and attributes as it's core components. MongoDB functions 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 every component in a table and secondary indexes to provide more querying flexibility.
  • Indexing: DynamoDB provides the option of creating a secondary index by specifying its key attributes which can be queried or scanned. DynamoDB lacks a query optimizer, so a secondary index is used to query or scan. In MongoDB, indexes are of utmost importance. If an index is missing, every document has to be browsed through to select the document actually requested by the query. This causes the read time to slacken.
  • Factor cost: DynamoDB and MongoDB are free for certain services after which a premium has to be paid to access more services. In comparison to MongoDB , DynamoDB is priced at a higher cost. However, MongoDB is more expensive to upscale in terms of storage.
  • Deployment: DynamoDB was written in JAVA and supports programming languages like JAVA, JAVAScript, swift, Node j.s, .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 of time.

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