MongoDB Vs DynamoDB What is MongoDB? Both are widely deployed and deliver highly-scalable, cloud-level performance. AWS DynamoDB vs MongoDB. Undoubtedly, in the era of NoSQL databases, MongoDB and Amazon DynamoDB are gaining momentum. DynamoDB vs MongoDB MongoDB has been in the news for quite some time now. DynamoDB vs MongoDB Performance Considerations. Every database includes groups which in turn hold files. MongoDB Atlas is more popular with smaller businesses, likely due to the availability of a free version. Two of the most popular options for NoSQL databases are MongoDB and Amazon DynamoDB. DynamoDB Vs MongoDB Performance. Customer considerations. Once you are ready to make the switch, you simply need to update the connection string in your application code to point to the new MongoDB Atlas database. Setup. 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. Since its introduction in the year 2009, a lot of companies around the world have started using this relational database management system, thanks to its wide array of features as well as great versatility. Azure Cosmos DB - A fully-managed, globally distributed NoSQL database service. The first point of comparison in this discussion refers to terminology and concepts. Azure Cosmos DB is most popular with mid-sized businesses and larger enterprises, perhaps due to its high level of scalability. It’s really that simple! Difference Between DynamoDB and MongoDB (DynamoDB vs MongoDB) Now, let us arrive at the central focus of this discussion, i.e., on MongoDB vs DynamoDB comparison. First, MongoDB was released three years earlier than DynamoDB. ... globally distributed NoSQL database service. In spite of attractiveness of pay-as-you-go price model for Cosmos DB and possibility to create a budget, one customer prefers predefined cluster price model from MongoDB Atlas.The customer finds predefined pricing model of MongoDB Atlas more clear and safer for budgeting. Azure Cosmos DB and MongoDB Atlas are both NoSQL databases, designed to store data in a scalable, non-tabular manner. I should preface this by saying I do not have production experience with DynamoDB, so this is largely based on its features and capabilities as reported in the media and various tech blogs. Since DynamoDB is a part of AWS, you can simply go to the AWS console and start a wizard to create databases. Cosmos has an option to use the MongoDB wire protocol and supports a subset of MongoDB commands, but the Cosmos server implementation can (and does) have differences from an actual MongoDB server. The content and size of every document can be dissimilar to each other. Every single file can be dissimilar with a changing amount of fields. The differences between MongoDB and DynamoDB in different areas are as follows. DynamoDB vs. MongoDB. 1. MongoDB Atlas - Deploy and scale a MongoDB cluster in the cloud with just a few clicks. This is one area where DynamoDB scores heavily over MongoDB. MongoDB is a NoSQL database with document orientation. But here are some areas where they differ. Below, we’ve highlighted some of the key performance capabilities that support mission-critical applications. There's another option not mentioned here: use a MongoDB Database-as-a-Service (DBaaS) provider hosted on Azure (for example, MongoDB Atlas). As of February 2020, MongoDB is the fifth most-popular database and DynamoDB is the sixteenth most-popular database: MongoDB's lead is due to a few reasons. It is used when high volumes of data are to be stored. Terms and Concepts. Both DynamoDB and MongoDB work well in most situations. 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