Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
Microsoft SQL Server
Score 8.7 out of 10
N/A
Microsoft SQL Server is a relational database.
$1,418
Per License
Pricing
Amazon DynamoDB
Microsoft SQL Server
Editions & Modules
Provisioned - Read Operation
$0.00013
capacity unit per hour
Provisioned - Write Operation
$0.00065
capacity unit per hour
Provisioned - Global Tables
$0.000975
per Read Capacity
On-Demand Streams
$0.02
per 100,000 read operations
Provisioned - Streams
$0.02
per 100,000 read operations
On-Demand Data Requests Outside AWS Regions
$0.09
per GB
Provisioned - Data Requests Outside AWS Regions
$0.09
per GB
On-Demand Snapshot
$0.10
per GB per month
Provisioned - Snapshot
$0.10
per GB per month
On-Demand Restoring a Backup
$0.15
per GB
Provisioned - Restoring a Backup
$0.15
per GB
On-Demand Point-in-Time Recovery
$0.20
per GB per month
Provisioned - Point-in-Time Recovery
$0.20
per GB per month
On-Demand Read Operation
$0.25
per million requests
On-Demand Data Stored
$0.25
per GB per month
Provisioned - Data Stored
$0.25
per GB per month
On-Demand - Write Operation
$1.25
per million requests
On-Demand Global Tables
$1.875
per million write operations replicated
Subscription
$1,418.00
Per License
Enterprise
$13,748.00
Per License
Offerings
Pricing Offerings
Amazon DynamoDB
Microsoft SQL Server
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon DynamoDB
Microsoft SQL Server
Considered Both Products
Amazon DynamoDB
Verified User
Director
Chose Amazon DynamoDB
Other all SQL Databases are based on the traditional Schema Structure and Amazon DynamoDB is NoSQL so you don't need to generate the SQL Schemas. You can store the data whatever you want, whenever you want. You can store data in structured or non-structured any way you want. If …
MongoDB was basically the first approach we used but because there was concern that some data may miss we were reluctant to use it. Oracle Database and SQL Server was our second approach but it was throttling so in last we tested out Amazon DynamoDB and it met our requirement.
DynamoDB is a great supplemental data store compared to SQL Server. We use SQL Server extensively for our primary application, however, it is sometimes overkill for small projects that just need a datastore. DynamoDB fits that bill better and is a great option for projects …
Compared to running your own on-prem SQL infrastructure Amazon Dynamo is easier to set up, faster and more reliable as well as being cheaper in the long run.
We did not use or evaluated any. DynamoDB was our first choice for this particular use case and we were glad we made this choice. Also, knowing the AWS infrastructure and having DynamoDB integrated into the AWS environment helped us greatly with learning DynamoDB and being able …
SQL Server is better for large databases containing structured relational data. It makes it easy to group and order, to sum and create tables of data from any data stored in a table or related tables. While Dynamodb is very good at STORING huge amounts of unstructured data, it …
I think, MS SQL Server stacks up against them by improving its performance for relational database. Next thing will be to make a bit cheaper. Another think MS should look into non relational database option in top of relational. I selected MS SQL server in one of the project …