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MongoDB vs. DynamoDB — Which One’s Better?
Big Data has changed the way we manage data. Relational Database Management Systems (RDMS) were the go-to for storing structured data. They were perfect for a client-server business application. Such relational databases are classic because they follow the ACID properties rigidly, which implies that a database is built to be atomic, consistent, isolated, and durable.
While the classic model of databases provides consistency, sometimes, it is not able to scale large amounts of unstructured data. At least it couldn’t do that cost-effectively. Next came the NoSQL (Not only SQL) solutions because engineering teams couldn’t keep using the same non-effective servers constantly.
MongoDB and DynamoDB are both NoSQL database solutions that carry their fair share of pros and cons. If you’re battling over getting one but can’t decide, you’re in the right place because we are going to talk about some of the differences between the two. However, before we do, let’s have a look at what a NoSQL database really entails.
