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.
"The most valuable feature of this solution is the non-relational database."
"Stability-wise, I rate the solution a ten out of ten. I've never faced any problems."
"One of the most valuable features of Amazon DynamoDB is it can handle unstructured or semi-structured data."
"The platform is easy to develop and configure."
"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."
"Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."
"It has helped us build our product from zero point to the end."
"Never used the support. I got all the information from the documentation."
"Scalability-wise, I rate the solution a ten out of ten."
"It's very user-friendly where streaming data is required."
"The solution is very convenient."
"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."
"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."
"The most valuable feature is the backup and replication service."
"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."
"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
"The primary key is quite slow."
"The solution has size limitations. It also needs to be more user-friendly."
"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."
"Maybe the documentation could be improved a bit. Sometimes, it's a little confusing, and people can easily be mistaken about DynamoDB."
"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."
"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."
"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."
"The lagging problem of the product I face is an area of concern where improvements are required."
"Improvement should be made as per customer recommended and requirements."
"This product needs better security and transparency, and the price should be reduced."
"The cost of this product is too expensive."
"I've used Bigtable for about three or four years."
Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 29 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 "Manages our contact center dynamically and allows us to store multiple data attributes in tables". 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.
We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
