We performed a comparison between Amazon DynamoDB and Google Cloud Bigtable 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."We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"Stability-wise, I rate the solution a ten out of ten. I've never faced any problems."
"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."
"Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"It has helped us build our product from zero point to the end."
"DynamoDB is a key-value database, and it's valuable if you have simple scan queries and don't need to do point searches."
"Amazon DynamoDB is a fully managed service by AWS, and it is designed to provide fast and predictable performance."
"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."
"Scalability-wise, I rate the solution a ten out of ten."
"The solution is very convenient."
"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."
"The most valuable feature is the backup and replication service."
"It's very user-friendly where streaming data is required."
"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."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"Amazon DynamoDB could improve by being more robust, having a better user interface and data management. Additionally, there is some limited functionality compared to other solutions, such as MongoDB."
"The design patterns and the documentation for this solution could be improved. In a future release, we would like to see an improvement of the data push options as we sometimes experience blockers when moving data."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"The documentation is not good enough."
"The solution has size limitations. It also needs to be more user-friendly."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"Improvement should be made as per customer recommended and requirements."
"The cost of this product is too expensive."
"When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."
"This product needs better security and transparency, and the price should be reduced."
"I've used Bigtable for about three or four years."
"The lagging problem of the product I face is an area of concern where improvements are required."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 26 reviews while Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases with 6 reviews. Amazon DynamoDB is rated 8.4, while Google Cloud Bigtable is rated 8.8. 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 Google Cloud Bigtable writes "A stable product to help resolve production-related issues". Amazon DynamoDB is most compared with Amazon DocumentDB, Microsoft Azure Cosmos DB, Amazon Neptune, Amazon Timestream and Oracle NoSQL Database Cloud, whereas Google Cloud Bigtable is most compared with Microsoft Azure Cosmos DB and Amazon Timestream. See our Amazon DynamoDB vs. Google Cloud Bigtable report.
See our list of best Managed NoSQL Databases vendors.
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