Amazon Simple Queue Service (SQS)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon SQS
Score 8.4 out of 10
N/A
Amazon Web Services (AWS) Provides the Amazon Simple Queue Service (SQS), a managed message queue service which supports the safe decoupling and distribution of different components in a cloud infrastructure and cloud applications.
$0
per GB
Pricing
Amazon Simple Queue Service (SQS)
Editions & Modules
All Data Transfer In
$0.00
per GB
Standard Queue
$0.00000004
per request
FIFO Queue
$0.00000005
per request
Offerings
Pricing Offerings
Amazon SQS
Free Trial
No
Free/Freemium Version
Yes
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon Simple Queue Service (SQS)
Considered Both Products
Amazon SQS
Chose Amazon Simple Queue Service (SQS)
Simple and quick implementation makes it a first go to service when not familiar with queue management. Handling of Dead messages in queue is helpful, as over time these messages stack up causing lots of unnecessary processing at listener end. Retry mechanism for failed …
Chose Amazon Simple Queue Service (SQS)
To be blunt: Amazon SQS was the simplest to implement given our requirements. Other services in this space work just as well, and SQS does not have any benefits outside of being the easiest to implement when using an otherwise fully AWS stack. AWS itself even has other …
Chose Amazon Simple Queue Service (SQS)
The reason for the choice is due to maintenance needs and HIPPA compliance, as well as the great options under the AWS ecosystem, with very useful configurable parameters.
Chose Amazon Simple Queue Service (SQS)
The most comparable products are RabbitMQ, and perhaps ActiveMQ. Until recently, AWS did not offer a managed ActiveMQ product. Running RabbitMQ will never be to my team's competitive advantage; we wanted a managed service.
Chose Amazon Simple Queue Service (SQS)
Amazon SQS stacks up with the best of them as most of their products do. The only issue comparatively that I’ve had with this service, in particular, is the silently failing messages and then allocation of time to dedicate to debugging when the issue of why a message got stuck …
Top Pros
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Best Alternatives
Amazon Simple Queue Service (SQS)
Small Businesses

No answers on this topic

Medium-sized Companies
Apache Kafka
Apache Kafka
Score 8.4 out of 10
Enterprises
Apache Kafka
Apache Kafka
Score 8.4 out of 10
All AlternativesView all alternatives
User Ratings
Amazon Simple Queue Service (SQS)
Likelihood to Recommend
7.1
(7 ratings)
Support Rating
10.0
(2 ratings)
User Testimonials
Amazon Simple Queue Service (SQS)
Likelihood to Recommend
Amazon AWS
If you are looking to build something that just requires a simple queue service (as the name implies) this is great for it. You might look elsewhere though if you get into more complicated needs. This is also very well suited if you are already using other services with AWS and intend to fully build whatever you are building in AWS. If you are looking for a mixed environment -- SQS is not for you
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Pros
Amazon AWS
  • It provides an always-available serverless queue for workflows or mission-critical processes.
  • Is extremely low cost and overall costs to our environments have been negligible.
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Cons
Amazon AWS
  • Almost all of the functionality has been covered by SQS, but they could improve the throughput time.
  • Also, they could provide built-in Cloud Watch, so that we can easily configure it without any external efforts.
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Support Rating
Amazon AWS
Online blogging and documentation for SQS is great. There are many examples of implementing it and if you look hard enough, more than likely there are examples that meet the exact case with which you are working
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Alternatives Considered
Amazon AWS
The most comparable products are RabbitMQ, and perhaps ActiveMQ. Until recently, AWS did not offer a managed ActiveMQ product. Running RabbitMQ will never be to my team's competitive advantage; we wanted a managed service.
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Return on Investment
Amazon AWS
  • Positive impact - time allocation towards different features
  • Negative impact - too many resources dedicated towards debugging
  • Positive impact - less manual labor during testing
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