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."Capable of auto-scaling and integrates easily with other tools"
"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 most valuable features are the flexibility and the compatibility options without needing to use any additional services or software. It is an independent solution that doesn't need other solutions to operate."
"Never used the support. I got all the information from the documentation."
"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 is a NoSQL product."
"The best feature is NoSQL."
"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."
"It's very user-friendly where streaming data is required."
"The most valuable feature is the backup and replication service."
"The pricing for larger databases is higher."
"The solution has size limitations. It also needs to be more user-friendly."
"The primary key is quite slow."
"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."
"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."
"Maybe the documentation could be improved a bit. Sometimes, it's a little confusing, and people can easily be mistaken about DynamoDB."
"It would be nice to have some AI features in DynamoDB."
"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."
"This product needs better security and transparency, and the price should be reduced."
"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."
"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."
"The cost of this product is too expensive."
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.
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.
