Compare Amazon DynamoDB vs. Google Cloud Bigtable

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Ranking
1st
Views
1,698
Comparisons
1,304
Reviews
1
Average Words per Review
228
Avg. Rating
8.0
3rd
Views
650
Comparisons
577
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Popular Comparisons
Compared 22% of the time.
Compared 4% of the time.
Compared 4% of the time.
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Overview

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. You can use Amazon DynamoDB to create a database table that can store and retrieve any amount of data, and serve any level of request traffic. Amazon DynamoDB automatically spreads the data and traffic for the table over a sufficient number of servers to handle the request capacity specified by the customer and the amount of data stored, while maintaining consistent and fast performance.

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

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Sample Customers
Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, AdobeCognite, Dow Jones, Loblaw Digital
Top Industries
VISITORS READING REVIEWS
Media Company44%
Computer Software Company32%
Government11%
Comms Service Provider6%
No Data Available
Amazon DynamoDB is ranked 1st in Managed NoSQL Databases with 1 review while Google Cloud Bigtable is ranked 3rd in Managed NoSQL Databases. Amazon DynamoDB is rated 8.0, while Google Cloud Bigtable is rated 0. The top reviewer of Amazon DynamoDB writes "A good solution for managing documents that has a good user interface and is very stable". On the other hand, Amazon DynamoDB is most compared with Microsoft Azure Cosmos DB, Amazon Timestream, Oracle NoSQL Database Cloud, Amazon MCS and Amazon Neptune, whereas Google Cloud Bigtable is most compared with Microsoft Azure Cosmos DB.

See our list of best Managed NoSQL Databases vendors.

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