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."Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."
"Never used the support. I got all the information from the documentation."
"Its scalability is really good. I can go up to a petabyte of data. It is more of an on-demand use case. I can go from 100 MB to 1 PB if I want, which is very good. Most of the other databases would want you to stick to a specific data allocation. Its subscription cost is lower than similar databases offered by other vendors."
"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."
"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."
"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."
"The best feature of the solution is that it is a NoSQL database."
"Stability-wise, I rate the solution a ten out of ten. I've never faced any problems."
"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."
"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."
"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."
"The solution's backup and restore could be improved to be able to utilize batch operations."
"If the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."
"Amazon DynamoDB has a very complex configuration if you go very advanced."
"The solution could be cheaper."
"The pricing for larger databases is higher."
"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."
"The documentation is not good enough."
"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 lagging problem of the product I face is an area of concern where improvements are required."
"The cost of this product is too expensive."
"I've used Bigtable for about three or four years."
"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."
"Improvement should be made as per customer recommended and requirements."
"This product needs better security and transparency, and the price should be reduced."
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 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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