Both are widely deployed and deliver highly-scalable, cloud-level performance. First, MongoDB was released three years earlier than DynamoDB. 1. 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. 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. Setup. Terms and Concepts. MongoDB Vs DynamoDB What is MongoDB? It is used when high volumes of data are to be stored. AWS DynamoDB vs MongoDB. 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. MongoDB Atlas - Deploy and scale a MongoDB cluster in the cloud with just a few clicks. But here are some areas where they differ. DynamoDB vs MongoDB Performance Considerations. Azure Cosmos DB and MongoDB Atlas are both NoSQL databases, designed to store data in a scalable, non-tabular manner. There's another option not mentioned here: use a MongoDB Database-as-a-Service (DBaaS) provider hosted on Azure (for example, MongoDB Atlas). 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. It’s really that simple! The content and size of every document can be dissimilar to each other. DynamoDB vs. MongoDB. Every database includes groups which in turn hold files. Customer considerations. The first point of comparison in this discussion refers to terminology and concepts. 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. Below, we’ve highlighted some of the key performance capabilities that support mission-critical applications. DynamoDB Vs MongoDB Performance. The databases are deploying and delivering high-scalable, cloud-performance, and addressing significant insufficiencies in conventional RDBMS. 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. This allowed MongoDB to build a healthy user base, particularly as it focused on developer experience and happiness. Every single file can be dissimilar with a changing amount of fields. Two of the most popular options for NoSQL databases are MongoDB and Amazon DynamoDB. DynamoDB vs MongoDB MongoDB has been in the news for quite some time now. The differences between MongoDB and DynamoDB in different areas are as follows. Azure Cosmos DB - A fully-managed, globally distributed NoSQL database service. MongoDB Atlas is more popular with smaller businesses, likely due to the availability of a free version. This is one area where DynamoDB scores heavily over MongoDB. Undoubtedly, in the era of NoSQL databases, MongoDB and Amazon DynamoDB are gaining momentum. Both DynamoDB and MongoDB work well in most situations. Azure Cosmos DB is most popular with mid-sized businesses and larger enterprises, perhaps due to its high level of scalability. 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. 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. ... globally distributed NoSQL database service. MongoDB is a NoSQL database with document orientation. 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