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."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."
"Amazon DocumentDB is a simple solution."
"Migrations are easy using this product."
"The solution is very simple to use."
"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."
"Storing is a valuable feature. We can store as an entire object rather than the traditional structure of the data."
"Capable of auto-scaling and integrates easily with other tools"
"Amazon DynamoDB is powerful and fast. Its performance is good."
"We switched to DynamoDB from a relational database that would've had scale problems and would've cost a lot of money to run at scale. DynamoDB allows us to match expense to usage. When not many people are using and it's a quiet day, there is a low cost. On a busy day, there is a higher cost. We get good performance along the way and less maintenance on the database."
"The possibility of managing documents is the most valuable aspect of the solution. I like the fact that I don't have to define the fields."
"Offers a vital query-handling feature"
"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."
"The pricing for larger databases is higher."
"Maybe the documentation could be improved a bit. Sometimes, it's a little confusing, and people can easily be mistaken about DynamoDB."
"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."
"I'd like to see better integration with Cognito. It has the integration, but I'd like to see a little more ease of setup. If you have multiple customers and you want the database to enforce who can see what, you can treat DynamoDB so that each row has permissions. You can set this up, but it's a little more of a science project to make Cognito and DynamoDB work well to do protection of individual rows. So I'd like that to be more wizard or easy to set up."
"The documentation is not good enough."
"The response time for data queries should be less than a second"
"Data integrity across availability zones would be a valuable addition. Currently, DynamoDB provides eventual consistency across availability zones, but strong consistency would be beneficial for certain use cases."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
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.
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