MongoDB Atlas vs. AWS DocumentDB
When it comes to choosing a database solution for your web application, there are various factors that you should consider: reliability, scalability, ease of use, and pricing can all play important roles in your decision. Two prominent options in the market are MongoDB Atlas and AWS DocumentDB.
What is MongoDB Atlas?
MongoDB Atlas is a fully managed cloud database, offering automated provisioning and scaling, as well as 24/7 monitoring and support. It is built on the document database model, allowing for flexibility in data structures, and can handle a large volume of unstructured data with ease.
What is AWS DocumentDB?
As opposed to MongoDB Atlas, AWS DocumentDB is Amazon's managed document database service that is compatible with MongoDB, as it has been built on a fork of the same code base. With AWS DocumentDB, you can take advantage of native MongoDB tools and APIs, and use the tools and drivers you already have for MongoDB.
Comparison
Both MongoDB Atlas and AWS DocumentDB offer managed database solutions – meaning you don't need to manage the server infrastructure yourself. Here is a comparison chart of some of the main features of both solutions:
Features | MongoDB Atlas | AWS DocumentDB |
---|---|---|
Data Storage | SSD backed | SSD backed |
Scalability | Automatic scaling | Higher Scaling |
Secondary Indexes | Global Secondary Indexes | Global Secondary Indexes |
Performance | High write/read performance | High write/read performance |
Pricing | Pay-as-you-go hourly pricing | Pay-as-you-go hourly pricing plus storage fees |
Both platforms offer similar features regarding data storage, performance, and scalability. AWS DocumentDB stands out by allowing higher scaling capabilities and features like EC2 access. MongoDB Atlas, on the other hand, offers a more flexible model, wider configuration options, and better management tools.
Conclusion
Ultimately, deciding which database solution you choose depends on your use case and requirements. AWS DocumentDB and MongoDB Atlas are both great cloud database services, and when it comes to choosing one, it's a matter of personal preference, cost, and individual needs. You should do additional research and testing before making a decision.