Big Data Management: A Comparison of DynamoDB vs MongoDB
Big data technology, regrettably, is not without problems. Trying to build up a database that will be able to handle the vast amount of data that they need to manage is one of the challenges businesses encounter.
Numerous tools are available to assist businesses in managing their databases. To administer their databases, they don’t necessarily need to be familiar with NoSQL. Although both DynamoDB and MongoDB are serverless services that are fully managed and don’t require you to worry about updates, upkeep, or paying for hardware, they have important distinctions. It can be difficult to decide which is appropriate for your needs because of their similarities.
Where Can You Use Them
MongoDB and DynamoDB are different from one another in how flexible they are to use. DynamoDB only supports deployments on Amazon Web Services (AWS), and it does not support deployments on-premise. You are practically forced to use AWS as your cloud provider if you use DynamoDB. Anywhere can deploy MongoDB, and AWS, Azure, and Google Cloud Platform (GCP) can all deploy the database-as-a-service MongoDB Atlas. It works with a hybrid cloud on-premises and with mainframes and laptops. These databases are simple to monitor as well.
What Do They Cost
Since you must enter the different parameters that affect the price into their pricing calculators, neither approach has an obvious solution. Both offer free tiers so you can test whether they suit your specific needs, but for the majority of large-scale applications, MongoDB is usually more affordable. The price of your MongoDB service is determined by your cloud and storage provider. Your need for provisioned or on-demand DynamoDB, the amount of storage you need, the quantity of reads and writes necessary, and backup requirements all affect the cost.
How Safe Is It To Use
With the entire force of AWS’ security safeguards at its disposal, DynamoDB is typically regarded as the more secure of the two. You may use your own encryption keys with DynamoDB due to its integration with AWS security services. You can do the same with MongoDB by using the key management system offered by the cloud provider you choose. However, by default, MongoDB installs without enabling authentication, which has caused some users to lose data. In order to activate security, you must enable user authentication using usernames and passwords. DynamoDB encrypts all data both in transit and at rest.
What Are The Data Model Ranges
Although both databases can store binary data, MongoDB has a greater variety of datatypes than DynamoDB. MongoDB supports file sizes up to 16MB, while DynamoDB has a 400KB document limit. Additionally, lacking a date type, DynamoDB focuses on being a key-value database. You may perform more use cases with MongoDB, including geospatial queries, graph traversals, and others.
What Backup Capabilities Do They Have
The backup features of the two systems are comparable. Both MongoDB and DynamoDB provide continuous, on-demand backups. However, MongoDB also provides queryable backups and filesystem snapshot backups. On DynamoDB, you don’t get queryable backups, and many configurations that aren’t saved up could need to be manually recreated.
How does indexing work
The cost of indexing your data on MongoDB is nothing, and the system is simple to develop against. Indexes are compatible with the underlying data, and secondary indexes can be defined at any time for any field. Since indexes are sized, charged for, and provided independently from your data, DynamoDB is a little more constrained and challenging to manage. As global secondary indexes (GSIs) differ from the underlying data, applications may wind up handling stale data. Because of these factors, MongoDB’s data integrity is more firmly consistent than DynamoDB’s.
Frequently asked questions:
What is the difference between MongoDB and DynamoDB?
Since MongoDB is open-source, it can be used on-premises or in most clouds. The AWS ecosystem is where DynamoDB is from, and it can only be utilized there. MongoDB is available as a self-managed database or as a fully managed database as a service through MongoDB Atlas. A completely managed option is DynamoDB.
Which is cheaper, DynamoDB or MongoDB?
DynamoDB has reduced startup costs. Simple security and table setup and upkeep. Additional features offered by MongoDB include data validation, indexing techniques, query execution, and support for various data types. But the initial costs are also higher.
Are MongoDB and DynamoDB similar?
With MongoDB Atlas, MongoDB is also offered as a fully managed cloud database, which is the most comparable delivery strategy to that of DymanoDB. DynamoDB, in contrast, is a proprietary database that can only be used with Amazon Web Services.
At Hir Infotech, we know that every dollar you spend on your business is an investment, and when you don’t get a return on that investment, it’s money down the drain. To ensure that we’re the right business with you before you spend a single dollar, and to make working with us as easy as possible, we offer free quotes for your project.