We performed a comparison between Amazon DynamoDB and Amazon Neptune 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."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 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."
"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 has helped us build our product from zero point to the end."
"Offers a vital query-handling feature"
"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."
"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."
"Never used the support. I got all the information from the documentation."
"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."
"Having an import option, whether through browsing or local file uploads, would significantly improve the efficiency of data migration, enabling users to swiftly transfer large volumes of data into 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."
"Sometimes when we query through the UI, it takes a long time to get the results."
"The pricing model should be improved"
"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."
"I initially faced issues with the solution's stability, performance, and security."
"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."
"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."
"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."
Earn 20 points
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 31 reviews while Amazon Neptune is ranked 5th in Managed NoSQL Databases. Amazon DynamoDB is rated 8.4, while Amazon Neptune is rated 9.0. The top reviewer of Amazon DynamoDB writes "Manages our contact center dynamically and allows us to store multiple data attributes in tables". 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, Amazon Timestream, Neo4j AuraDB and Amazon DocumentDB.
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