Amazon Simple Queue Service (SQS) vs. IBM MQ

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon SQS
Score 7.9 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
IBM MQ
Score 9.6 out of 10
N/A
IBM MQ (formerly WebSphere MQ and MQSeries) is messaging middleware.N/A
Pricing
Amazon Simple Queue Service (SQS)IBM MQ
Editions & Modules
All Data Transfer In
$0.00
per GB
Standard Queue
$0.00000004
per request
FIFO Queue
$0.00000005
per request
No answers on this topic
Offerings
Pricing Offerings
Amazon SQSIBM MQ
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon Simple Queue Service (SQS)IBM MQ
Best Alternatives
Amazon Simple Queue Service (SQS)IBM MQ
Small Businesses

No answers on this topic

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Medium-sized Companies
Apache Kafka
Apache Kafka
Score 7.7 out of 10
Apache Kafka
Apache Kafka
Score 7.7 out of 10
Enterprises
Apache Kafka
Apache Kafka
Score 7.7 out of 10
Apache Kafka
Apache Kafka
Score 7.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon Simple Queue Service (SQS)IBM MQ
Likelihood to Recommend
7.1
(0 ratings)
8.7
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(0 ratings)
Usability
-
(0 ratings)
7.7
(0 ratings)
Availability
-
(0 ratings)
9.5
(0 ratings)
Support Rating
10.0
(0 ratings)
9.1
(0 ratings)
User Testimonials
Amazon Simple Queue Service (SQS)IBM MQ
Likelihood to Recommend
While we use AmazonSimple Queue Service (SQS) in our serverless applications, it would be a great option to handle queue management for any internet-connect application. It provides the most benefit in situations where your application or service must maintain mission-critical queue of messages or jobs. If you're already using other AWS services you will find the greatest benefit.
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Suited:
  • As we have critical data such as payments which needs to be managed across a number of platforms.
  • MQ ensures guaranteed delivery of this data.
  • Setting up a new application to use MQ is a relatively simple process.
  • To track data both internally and externally you can set MQ up to send back acknowledgement . Very useful if one party say they have not received some data.
Not suited.
  • If an application has a requirement to get information from a database without any concerns of losing data . Using JDBC connecting directly to the database can reduces the number of jumps the application needs to make to get to the database.
  • If an application wants to store information and then send as a large batch file it is not recommended to use MQ. MQ applications should be used for data which needs to be sent immediately. MFT (MQ file transfer) however can utilise MQ for file transfers
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Pros
  • SQS is reliable and fully managed. Our engineers do not have to worry about running RabbitMQ.
  • SQS is very inexpensive.
  • SQS allows data to be encrypted in transit, which may be required for compliance in some products.
  • FIFO queues provide exactly-once processing.
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  • The documentation is very clear,It is understandable and the support helps to configure it in the best way.
  • Server guidelines make it possible to get the most out of work management. It's broad, we can work with different operating systems, I really recommend using linux.
  • It is highly compatible with systems, brockers, applications, and data accumulation programs, it is possible to configure everything so that after the installation of programs, they can communicate with each other and then throw data to an external program that accumulates it and represents in clear details of steps to follow and make business decisions.
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Cons
  • More frequest polling will be expensive
  • No detailed monitoring of queues, just current data and regular monitoring is present
  • No way to fetch messages back from the queue
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  • I can only speak wonders about the program; I think it is a program with enough serious track record to meet the company's expectations. However, it should be noted that I could suggest that promotional packages be made from time to time for those of us who are already clients of more than one year.
  • In every sense, the program fulfills what it promises, which is to generate a good connection and cohesion of programs to be able to make commitments between them.
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Usability
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I give it a nine because it has significantly improved my team's data reliability and operational efficiency. Its great security features give us peace of mind, knowing our sensitive data is well protected. While the setup might initially be complex, I believe the long-term benefits far outweigh this hurdle.
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Reliability and Availability
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As I have said before, the program is stable; I think that is the great reason why it has been maintained for years and days in the company; despite the hard use that we have given it, it has behaved well during both day and night shifts.
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Support Rating
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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The IBM Support team has offered unmatched insight. Their personnel helped us actualize several things that seemed impossible before. You see, previously we would develop a software solution, but it would take months before rolling it out mostly because we had further build additional specific interfaces. The support team suggested we procure App Connect alongside MQ. Right now, we just hop into the IBM MQ platform, connect the software with AppConnect, and a few modifications are done, then it's ready within a few days.
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Alternatives Considered
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 solutions that would work just as well, however, SQS had the most reasonable pricing model for our given situation. That will certainly not always be the case, but in several of the instances where we are using it, it just made the most sense.
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Kafka is renowned for its impressive throughput, fault tolerance, and real-time data streaming capabilities. Nonetheless, IBM MQ remains the preferred choice due to its unwavering commitment to guaranteed delivery and exceptional reliability. Fault-Tolerant Architectures of IBM MQ which allows active-standby queue managers, to build fault-tolerant architectures that ensure continuity of service in the event of hardware or software failures.
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Return on Investment
  • Under the AWS Echo system, it provides great operating power to the application.
  • The cost is much less for messages, and it also supports a multi-user option.
  • Not for us, but for a larger organization, low throughput might become an issue for a standard queue type.
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  • Positive- Message Reliability and Reduced downtime, increases the ROI many times.
  • Positive- Increased stability and enhanced customer experience
  • Negative- cost is very high - Both licensing and integration cost
  • Negative- Learning and training cost of IBM MQ is high as its complex to use and integrate
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ScreenShots