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Is DynamoDB widely used?

Is DynamoDB widely used?

MongoDB and DynamoDB are two popular NoSQL databases. However, DynamoDB has been gaining popularity over MongoDB due to its serverless and easy-to-use nature as well as better security.

How similar is DynamoDB to MongoDB?

DynamoDB is a key-value store with added support for JSON to provide document-like data structures that better match with objects in application code. Compared to MongoDB, DynamoDB has limited support for different data types. For example, it supports only one numeric type and does not support dates.

What is the difference between MongoDB and DynamoDB?

MongoDB is one of the most famous documents oriented database whereas DynamoDB is scalable, hosted NoSQL database service provided by Amazon with the facility to store the data in Amazon’s cloud. Mongo database offers some API for user-defined Map/Reduce methods, whereas Map Reduce is not supported in Dynamo database.

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Is DynamoDB a good choice?

Conclusion. As a non-relational database, DynamoDB is a reliable system that helps small, medium and large enterprises scale their applications. It comes with options to backup, restore and secure data, and is great for both mobile and web apps.

Where is DynamoDB used?

When to use DynamoDB:

  1. When key-value or simple queries are present.
  2. When a very high read/write rate is needed.
  3. When auto-sharding is required.
  4. When auto-scaling is required.
  5. When low latency is required.
  6. When there is no size or throughput limit.
  7. When there is no tuning.
  8. When high durability is required.

What is the most widely used database model used in business?

relational database model
There’s little question that the relational database model is the most popular and will be for some time. Relational databases include Oracle’s database, Microsoft’s SQL server, MySQL and Postgres.

Why is MongoDB preferred?

MongoDB has become one of the most preferred NoSQL databases in a short span of time. Many large businesses who need to handle large amounts of data very quickly and in an agile manner use this database. In MongoDB, the fields can be made to vary within documents to enable data structure changes over a period of time.