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Compare Amazon DynamoDB vs. Amazon MCS

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3,178 views|2,708 comparisons
Amazon MCS Logo
89 views|57 comparisons
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Pricing and Cost Advice
"Its subscription cost is lower than similar databases offered by other vendors."

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Questions from the Community
Top Answer: 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… more »
Top Answer: 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… more »
Top Answer: I am currently using it for proof of concept and testing out its capabilities. We are publishing the IoT data on DynamoDB. We have its latest version.
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Ranking
Views
3,178
Comparisons
2,708
Reviews
3
Average Words per Review
462
Rating
7.3
Views
89
Comparisons
57
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
Amazon Managed Apache Cassandra Service
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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.

With Amazon MCS, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. Amazon MCS implements the Apache Cassandra version 3.11 CQL API, allowing you to use the code and drivers that you already have in your applications. Updating your application is as easy as changing the endpoint to the one in the Amazon MCS service table.

Amazon MCS provides consistent single-digit-millisecond read and write performance at any scale, so you can build applications with low latency to provide a smooth user experience. You have visibility into how your application is performing using Amazon CloudWatch.

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Sample Customers
Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Top Industries
VISITORS READING REVIEWS
Media Company27%
Comms Service Provider21%
Computer Software Company20%
Energy/Utilities Company5%
No Data Available

Amazon DynamoDB is ranked 2nd in Managed NoSQL Databases with 3 reviews while Amazon MCS is ranked 8th in Managed NoSQL Databases. Amazon DynamoDB is rated 7.4, while Amazon MCS is rated 0.0. The top reviewer of Amazon DynamoDB writes "Good scalability, low subscription cost, and meets our requirements". On the other hand, Amazon DynamoDB is most compared with Amazon Timestream, Microsoft Azure Cosmos DB, Google Cloud Bigtable, Amazon DocumentDB and Amazon Neptune, whereas Amazon MCS is most compared with .

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.