"The solution is very simple to use."
"Stability-wise, I rate the solution a ten out of ten. I've never faced any problems."
"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."
"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."
"The platform is easy to develop and configure."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"DynamoDB is a key-value database, and it's valuable if you have simple scan queries and don't need to do point searches."
"It has helped us build our product from zero point to the end."
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"The solution's efficiency and performance should be faster than other databases."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"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."
"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."
"The documentation is not good enough."
"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 Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 24 reviews while Amazon Neptune is ranked 4th in Managed NoSQL Databases. Amazon DynamoDB is rated 8.4, while Amazon Neptune is rated 9.0. The top reviewer of Amazon DynamoDB writes "A 10/10 solution with effective transaction-based pricing and stable millisecond response time". On the other hand, the top reviewer of Amazon Neptune writes "Useful pattern identification, price well, and straightforward implementation". Amazon DynamoDB is most compared with Amazon DocumentDB, Google Cloud Bigtable, Microsoft Azure Cosmos DB, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Amazon Neptune is most compared with Microsoft Azure Cosmos DB, Neo4j AuraDB, Amazon Timestream and Amazon DocumentDB.
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