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 technical support team is always available to help us."
"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."
"Capable of auto-scaling and integrates easily with other tools"
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"Amazon DynamoDB is a NoSQL database that stores unstructured data and provides high performance."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"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."
"The solution is very convenient."
"The most valuable feature is the backup and replication service."
"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."
"It's very user-friendly where streaming data is required."
"Scalability-wise, I rate the solution a ten out of ten."
"In future releases, I would like a feature that lets us store information about public holidays or weekends. When customers call during those closed periods, we could use DynamoDB to trigger an automatic message. So this would eliminate the need for agents to manually inform customers."
"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."
"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."
"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."
"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."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"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."
"This product needs better security and transparency, and the price should be reduced."
"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."
"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 31 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.
