We performed a comparison between Amazon DocumentDB and Amazon DynamoDB based on real PeerSpot user reviews.
Find out in this report how the two Managed NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Migrations are easy using this product."
"Amazon DocumentDB is a simple solution."
"Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
"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."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"The technical support team is always available to help us."
"We don't have to administer the tool."
"One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."
"The most valuable feature of this solution is the non-relational database."
"The solution is very simple to use."
"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."
"There's a bit of a learning curve at the beginning."
"The technical support could be improved."
"It would be nice to have some AI features in DynamoDB."
"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."
"The response time for data queries should be less than a second"
"Sometimes when we query through the UI, it takes a long time to get the results."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"The documentation is not good enough."
"Querying data on the solution is quite limited, but this is like any other NoSQL database. It's the most common criticism of the NoSQL database in general."
"The solution could be cheaper."
Amazon DocumentDB is ranked 4th in Managed NoSQL Databases with 3 reviews while Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 31 reviews. Amazon DocumentDB is rated 8.4, while Amazon DynamoDB is rated 8.4. The top reviewer of Amazon DocumentDB writes "Offers the ability to replicate data across different instances". On the other hand, the top reviewer of Amazon DynamoDB writes "Manages our contact center dynamically and allows us to store multiple data attributes in tables". Amazon DocumentDB is most compared with Microsoft Azure Cosmos DB, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Amazon DynamoDB is most compared with Google Cloud Bigtable, Microsoft Azure Cosmos DB, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud. See our Amazon DocumentDB vs. Amazon DynamoDB report.
See our list of best Managed NoSQL Databases vendors.
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