We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Migrations are easy using this product."
"Its scalability is really good. I can go up to a petabyte of data. It is more of an on-demand use case. I can go from 100 MB to 1 PB if I want, which is very good. Most of the other databases would want you to stick to a specific data allocation. Its subscription cost is lower than similar databases offered by other vendors."
"One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
"There's a bit of a learning curve at the beginning."
"Currently, there is no option for a scheduled refresh in this solution. We want the data to be populated into DynamoDB on a timely basis. Currently, you have to go to the DynamoDB table and hit the refresh button to populate it with the new data. If you have connected DynamoDB to a BI application for creating visualizations with charts, graphs, or other things, you would want it to get updated as per the schedule so that you have updated visualizations in your BI application."
"Amazon DynamoDB could improve by being more robust, having a better user interface and data management. Additionally, there is some limited functionality compared to other solutions, such as MongoDB."
"There are some issues like if we missed something or somehow were not able to store the data, then it was quite difficult for us to get back that data."
"Its subscription cost is lower than similar databases offered by other vendors."
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Amazon DocumentDB is designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.
Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime.
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.
Amazon DocumentDB is ranked 4th in Managed NoSQL Databases with 1 review while Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 3 reviews. Amazon DocumentDB is rated 8.0, while Amazon DynamoDB is rated 7.4. The top reviewer of Amazon DocumentDB writes "Pretty scalable with good documentation and has an easy migration process". On the other hand, the top reviewer of Amazon DynamoDB writes "Good scalability, low subscription cost, and meets our requirements". Amazon DocumentDB is most compared with Microsoft Azure Cosmos DB, Amazon Neptune and Amazon Timestream, whereas Amazon DynamoDB is most compared with Amazon Timestream, Microsoft Azure Cosmos DB, Google Cloud Bigtable, Amazon Neptune and Oracle NoSQL Database Cloud.
See our list of best Managed NoSQL Databases vendors.
We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.