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  1. Jul 5, 2023 · DynamoDB is a serverless NoSQL database developed by Amazon to support its famous online shopping destination and then made available to developers in 2012 on its cloud hosting platform, Amazon Web Services (AWS). As it did for Amazon’s store, DynamoDB responds to queries without the computing overhead required to make the sometimes-complex ...

  2. Apr 21, 2022 · DynamoDB is Amazon’s proprietary NoSQL database service. First released in 2012, DynamoDB supports two types of NoSQL data: key-value and document-oriented. It has similar functionality to MongoDB, though it is only usable through Amazon Web Services (AWS), making it less than ideal for users who aren’t working with AWS services.

    • What Is A NoSQL Database?
    • What Is AWS DynamoDB?
    • What Is Mongodb?
    • AWS DynamoDB vs MongoDB
    • Which Database Is Right For Your Business?

    You can find a full description on Wikipedia, but let me summarize here. A NoSQL database is a mechanism for storing data that is not structured in the same tabular format as a relational database. NoSQL databases are often used in big data and real-time web applications. The advantages of NoSQL over relational databases include: 1. Easier horizont...

    AWS DynamoDBis a fully managed proprietary key-value and document NoSQL database that can deliver single digit millisecond performance at any scale. DynamoDB includes security, backup and restore, and in-memory caching. It is a multi-region and multi-master database deployment, which can scale to handle tens of millions of requests per second. Dyna...

    MongoDBis a scalable, flexible document database written in C++ that is easy for developers to use, yet still provides all the functionality required to meet complex and high performance requirements at scale. MongoDB is developed by MongoDB Inc, a US-based software company. MongoDB stores data in JSON-like documents. Fields can vary in different d...

    So, now we know what NoSQL is and what both AWS DynamoDB and MongoDB are. Let’s take a look at some of the key differences between these two NoSQL database offerings.

    As I mentioned at the beginning of the article, the answer to this question is not necessarily an easy one. It will depend largely on the long-term cloud strategy of your business, as well as the specific requirements of your application. Both of these NoSQL databases can deliver performance and high availability at global scale. If you are all in ...

  3. Jul 14, 2021 · In contrast, DynamoDB offers a limited number of available data types while single items are limited to 400KB. MongoDB is a schema-free database. Yet, it allows users to enforce a schema with its built-in schema validation if a need arises. These schemas can be used to validate: Document structure. Data types.

  4. A1: MongoDB and DynamoDB differ in key differences in their data models, query languages, indexing capabilities, and consistency models. MongoDB offers a flexible, document-oriented model with a rich query language, while DynamoDB utilizes a key-value data model with simpler querying focused on primary keys.

    • Soham Dutta
  5. Jun 7, 2022 · Limited Indexing: Compared to MongoDB, where indexing your data comes at no extra cost, DynamoDB indexes are limited and complex. Amazon sizes and bills the indexes separately from data. Pricing: DynamoDB uses a pay-as-you-go, throughput-based pricing technique where different inputs may affect prices.

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  7. Aug 26, 2023 · 10 min read. ‍ DynamoDB and MongoDB are solid NoSQL databases with unique strengths and applications. While DynamoDB is a managed database service offered by AWS, designed for scalability and speed, MongoDB is a versatile, open-source, document-based database. This guide provides an in-depth comparison, spotlighting each platform’s nuances ...

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