Compare Amazon Simple Queue Service (SQS) vs Call-Em-All

See this comparison of Amazon Simple Queue Service (SQS) vs. Call-Em-All based on data from user reviews. Amazon Simple Queue Service (SQS) rates 3.8/5 stars with 6 reviews. Call-Em-All rates 4.4/5 stars with 11 reviews. Each product's score is calculated by real-time data from verified user reviews.

Meets RequirementsSee More
Meets RequirementsSee More
8.0
(Based on 6 reviews)
8.6
(Based on 10 reviews)
Ease of UseSee More
Ease of UseSee More
9.0
(Based on 6 reviews)
9.1
(Based on 10 reviews)
Ease of Setup
Ease of SetupNot enough data availableNot enough data available
Ease of Admin
Ease of AdminNot enough data availableNot enough data available
Quality of Support
Quality of SupportNot enough data available
8.7
(Based on 8 reviews)
Ease of Doing Business With
Ease of Doing Business WithNot enough data availableNot enough data available
Product Direction (% positive)See More
Product Direction (% positive)See More
3.0
(Based on 6 reviews)
7.9
(Based on 10 reviews)
Small-Business (50 or fewer emp.)
Small-Business
(50 or fewer emp.)
83.3%
90.9%
Mid-Market (51-1000 emp.)
Mid-Market
(51-1000 emp.)
0.0%
9.1%
Enterprise (> 1000 emp.)
Enterprise
(> 1000 emp.)
16.7%
0.0%
 
Computer Software
50.0%
Staffing and Recruiting
90.9%
 
Broadcast Media
20.0%
Entertainment
9.1%
 
Information Technology and Services
20.0%
 
Government Administration
10.0%
 
 
Other
0.0%
Other
0.0%
Most Helpful Favorable Review
Most Helpful Favorable Review
G2 Crowd User

It is easy to use with ample documentation for a newbie. Also, we use it for push notification in our web application.

G2 Crowd User in Staffing and Recruiting

I like how easy it is to use and it's a great tool

Most Helpful Critical Review
Most Helpful Critical Review
G2 Crowd User in Government Administration

The payload size for items in the queue is too low in our opinion, which forced us to be creative in workarounds. Other than the guarantee of completing a task, it doesn't offer much more. All the complexities have to be worked into the application layer.

G2 Crowd User in Staffing and Recruiting

that you don't always know who actually listened to your message and who did not.

 
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