We performed a comparison between Amazon DocumentDB and Amazon DynamoDB based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), Google and others in Managed NoSQL Databases."Migrations are easy using this product."
"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."
"The platform is easy to develop and configure."
"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."
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"DynamoDB is a key-value database, and it's valuable if you have simple scan queries and don't need to do point searches."
"The solution is very simple to use."
"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."
"It is a NoSQL product."
"We don't have to administer the tool."
"There's a bit of a learning curve at the beginning."
"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."
"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."
"If the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"The pricing for larger databases is higher."
"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's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
"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."
"It would be nice to have some AI features in DynamoDB."
Amazon DocumentDB is ranked 5th in Managed NoSQL Databases with 2 reviews while Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 28 reviews. Amazon DocumentDB is rated 8.6, 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 "A 10/10 solution with effective transaction-based pricing and stable millisecond response time". 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.
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