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."Never used the support. I got all the information from the documentation."
"Speed is the most valuable feature. The speed to store and retrieve data from it."
"It is a NoSQL product."
"Amazon DynamoDB is powerful and fast. Its performance is good."
"Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."
"We don't have to administer the tool."
"The solution is very simple to use."
"The platform is easy to develop and configure."
"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 solution is very convenient."
"It's very user-friendly where streaming data is required."
"Scalability-wise, I rate the solution a ten out of ten."
"The most valuable feature is the backup and replication service."
"It would be nice to have some AI features in DynamoDB."
"If the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."
"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."
"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."
"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."
"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."
"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."
"Sometimes when we query through the UI, it takes a long time to get the results."
"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."
"The cost of this product is too expensive."
"I've used Bigtable for about three or four years."
"Improvement should be made as per customer recommended and requirements."
"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 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 Amazon Keyspaces, 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.
