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IDC White Paper | Amazon Relational Database Service Delivers Enhanced Database Performance at Lower Total Cost
Table 1 presents study demographics. Organizations interviewed had an average of 57,230
employees, indicating the involvement of several large companies (median of 2,094). This
workforce was supported by an IT staff of 300 engaged in managing 91 business applications.
Study participants had deployed an average of 133 Amazon RDS databases at the time of
interviews, making up about half of their database environments. Study participants reported
running various database engines, including Oracle, SQL Server, PostgreSQL, and MySQL, in
their Amazon RDS environments
The sample of organizations included experiences from the United States (4), Canada, and
South Korea as well as a good mix of vertical markets, namely, education services, financial
services, higher education, manufacturing, professional services, and software.
Reasons for Choosing Amazon RDS
Interviewed organizations discussed their reasons for choosing Amazon RDS. AWS customers
cited various factors tied to the cost and performance of running Amazon RDS databases in
the AWS cloud, which they concluded would help them optimize database costs, reduce risk,
and improve database performance. At base, they required databases that they could cost
effectively scale to match business demand in a cost-effective but high-performing manner.
Study participants elaborated:
TABLE 1 Firmographics and Use of Amazon RDS
Number of employees
Average Median
Number of IT sta
Number of business applications
Annual revenue/budget
57,230 2,094
300 170
91 73
$12.47 billion $857.4 million
Total number of databases
Number of Amazon RDS databases
266 30
133 22
Number of TBs, Amazon RDS databases
Countries
Industries
109 19
United States (4), Canada, and South Korea
Education services, nancial services, higher education,
manufacturing, professional services, and software
Source: IDC, 2020
