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Collins Jumah - PeerSpot reviewer
AWS Authorized Instructor at Next Step Foundation
Real User
Top 10
Decouples components effectively and aids in communication load management while lowering load surges
Pros and Cons
  • "The most valuable feature is the ability to decouple components."
  • "The cost became an issue, leading us to consider other solutions."

What is our primary use case?

Our primary use case was to connect SQS with S3 so that we could count the number of downloads of our objects within S3. However, we had to switch to using the CloudFront URL instead. We initially used SQS to help in decoupling and to find the number of messages coming in.

What is most valuable?

The most valuable feature is the ability to decouple components. It is beneficial because our architecture usually has different components and the communication aspect of components is crucial. SQS is effective in decoupling or buffering to prevent overwhelming components in case there is increased traffic, aiding in the management of communication loads. By design, it is scalable, and its SAGRAM feature helps to lower loads during surges.

What needs improvement?

The primary issue was the increase in costs due to frequent polling for messages. The cost became an issue, leading us to consider other solutions.

For how long have I used the solution?

We used SQS for a project, however, due to cost concerns, we had to switch to a different solution.

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What do I think about the stability of the solution?

We did not encounter any challenges with the stability of SQS. The only challenge we faced was with the cost.

What do I think about the scalability of the solution?

SQS is scalable. It is designed to handle varying loads well, with the SAGRAM feature assisting in managing and lowering loads during increased traffic.

How was the initial setup?

Understanding the service requires prior knowledge, and we could not just use it directly. We needed to first understand the service itself for deployment.

What's my experience with pricing, setup cost, and licensing?

The main challenge we encountered was related to the cost increase due to frequent polling for messages.

Which other solutions did I evaluate?

We switched from using SQS to CloudFront, as CloudFront was a better fit for our needs and was more cost-effective.

What other advice do I have?

I would recommend SQS to others depending on their use case. 

Overall, I would rate SQS a nine out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: partner/customer
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ARIFULLA Ulla - PeerSpot reviewer
Solutions Architect at Sonata\TUI
Real User
Top 20
Offers visibility timeout feature, easy to implement and offers the ability to trigger actions based on real-time changes
Pros and Cons
  • "We use SNS as the publisher, and our procurement service subscribes to those events using SQS. In the past, we relied on time-based or batch-based processes to send data between services on-premises. With SQS, we can trigger actions based on real-time changes in business processes, improving reliability."
  • "The current visibility timeout of five minutes is okay. However, I'd like to explore the possibility of extending it for specific use cases."

What is our primary use case?

We use it for event-driven messaging and workflows.

How has it helped my organization?

We use SNS as the publisher, and our procurement service subscribes to those events using SQS.

In the past, we relied on time-based or batch-based processes to send data between services on-premises. With SQS, we can trigger actions based on real-time changes in business processes, improving reliability.

Moreover, SQS can grow with our needs.

SQS message delay feature and redundant retention policies helped us to avoid replaying events due to errors and ensure our messages are processed reliably.

We use CloudWatch for monitoring.

What is most valuable?

It's easy to implement and cost-effective.

The visibility timeout feature is very nice. We use the visibility timeout in our internal processes to ensure that if a message fails to process, it becomes available for other consumers after a set period.

What needs improvement?

The current visibility timeout of five minutes is okay. However, I'd like to explore the possibility of extending it for specific use cases.

For how long have I used the solution?

I have been using it for five to six years now. We (my company) use SQS quite extensively, and it has been quite a good service till now.

What do I think about the stability of the solution?

It is a stable product.

What do I think about the scalability of the solution?

It is a scalable product. We can handle 10,000 events easily. 

We have a lot of end users using it in my company. We have around 2,000 end users using it. We have multiple locations. 

Which solution did I use previously and why did I switch?

I have used RabbitMQ. 

How was the initial setup?

The initial setup is very straightforward. It's a simple checkbox-kinda process. 

It is not difficult to maintain it. It is very easy. Overall, it is a very straightforward solution. 

What was our ROI?

It does a very good job. The cost was the main issue for us.

What's my experience with pricing, setup cost, and licensing?

It's quite expensive. 

What other advice do I have?

It's a great solution. I would recommend using it. 

Overall, I would rate the solution a nine out of ten. I've used it, and it seems to be a solid solution.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Amazon SQS
February 2025
Learn what your peers think about Amazon SQS. Get advice and tips from experienced pros sharing their opinions. Updated: February 2025.
838,640 professionals have used our research since 2012.
DevOps and Software Developer at Mettpay
Real User
Top 5
Easy set up, good scalability and stability
Pros and Cons
  • "It is stable and scalable."
  • "Support could be improved."

What is most valuable?

The product has excellent documentation for its services. It provides information on how to use it and its current availability. Users can refer to the documentation to understand its features and build their services accordingly.

The solution is easy to set up. You don't have to worry about scaling, etc. If the number of licenses increases, you don't have to worry about it. The Amazon SQS will take care of it. If you're doing it alone, you must take care of everything.

What needs improvement?

Support could be improved.

For how long have I used the solution?

I have been using Amazon SQS for 3 to 4 years.

What do I think about the stability of the solution?

The solution is working fine. Whenever there is some issue around it, we look into it.  Sometimes, there are issues with its important sensors. Also, there are issues with the data center.

I rate the solution’s stability an eight or nine out of ten.

What do I think about the scalability of the solution?

There are three or four users, but multiple instances are connected this way between different applications.

I rate the solution’s scalability a ten out of ten.

How are customer service and support?

Customer support is very bad. There's no tech support from the AWS side. If you want it, you must pay a lot of money, which is 2,000 dollars. They have a lot of customers. They have an open application and use a support team. If you're willing to pay that much, something significant is happening with your application. There's no direct connection if a small customer wants to get some information from AWS.

How would you rate customer service and support?

Negative

Which solution did I use previously and why did I switch?

I have been using Amazon SQS for three to four years.

How was the initial setup?

The initial setup is easy. It depends on the time limit for setting up the queues, but whatever standard time is defined should be sufficient.

What's my experience with pricing, setup cost, and licensing?

The solution costs 200 dollars. We don't manage it if we don't use any queues.

What other advice do I have?

Initially, we didn't have any code. Our lead engineers had the most knowledge about our system. We decided to pursue a customized design due to cost concerns. We soon realized that we could not focus on our product because we were constantly distracted by tasks such as deployments and managing scalability. That's why we decided to transition to SQS fully. SQS provides scalability and fixes related issues. Whenever we require a set of messages, we need to set them up in our system, and SQS takes care of the rest. The keys are functioning perfectly fine for now.

Overall, I rate the solution a ten out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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AWS Consultant at HCLTech
Real User
Top 20
Helps with queuing different tasks, alerting, and monitoring pipelines
Pros and Cons
  • "All Amazon Web Services resources are easy to configure."
  • "Improvement is needed in terms of troubleshooting and logs."

What is our primary use case?

We use Amazon SQS for triggering other resources, such as Lambda, API Gateway, EC2 instances, and various tasks running inside different compute services. 

It's primarily used for queuing different tasks, alerting, and monitoring pipelines. Additionally, it is used for message distribution.

What is most valuable?

All Amazon Web Services resources are easy to configure. The configuration process is straightforward, making it easy to use. It's easy to get started with it.

What needs improvement?

There is room for improvement in all the resources. That said, it's currently pretty good. For example, improvement is needed in terms of troubleshooting and logs, as there is not much logging in SNS and SQS services. More specific logs would be helpful, as it's hard to troubleshoot without them.

For how long have I used the solution?

I've been using it for quite a while, about four years.

What do I think about the stability of the solution?

Stability-wise, it's pretty good. It doesn't really break down, but it does freeze sometimes. However, the freezing is not that significant.

What do I think about the scalability of the solution?

It is very scalable. Scalability-wise, I would give it a ten out of ten.

How are customer service and support?

Personally, it's pretty good because, from my workplace, we receive special support. However, for the general public, it's not as good. The more you pay, the more support you get.

How would you rate customer service and support?

Neutral

Which solution did I use previously and why did I switch?

I previously used both cloud and on-prem solutions. Of course, cloud is better than on-prem since there's no maintenance, but it comes at a cost.

What's my experience with pricing, setup cost, and licensing?

It is expensive. The cloud is expensive.

What other advice do I have?

I would recommend this product to bigger businesses.

I'd rate the solution nine out of ten.

Which deployment model are you using for this solution?

Public Cloud
Disclosure: My company has a business relationship with this vendor other than being a customer:
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Ananda Kevin Refaldo Sariputra - PeerSpot reviewer
Software Engineer - Backend at InfinID • FullTime
Real User
Top 5
Helps process all the requests that come from the clients, and it enhances the client-side performance
Pros and Cons
  • "The dead-letter queue is very helpful in maintaining the messages that come into the queue."
  • "There could be improvements in the UI for security and scalability."

What is our primary use case?

Amazon SQS is used when the need arises to publish a message. This could be a natural message or a message to a service to execute a process. The consumer, which is usually a service, will catch it, consume it, and execute the process based on the message that is passed to the queue. This describes the general concept of our use case.

How has it helped my organization?

Amazon SQS helps process all the requests that come from the clients, and it enhances the client-side performance, making it faster. It ensures data is processed correctly with no data loss, especially with the Dead Letter Queue (DLQ) feature. This feature ensures that even if a message is not processed properly, it can be reprocessed later on.

What is most valuable?

The dead-letter queue is very helpful in maintaining the messages that come into the queue. It allows the consumer to process it again later when it is available, preventing the queue from being overlooked when the same message has been retried more than the specified attempts.

What needs improvement?

There could be improvements in the UI for security and scalability. Initially, I struggled to understand the scalability and get the general gist of how it works, but over time, it became clearer.

For how long have I used the solution?

I have been working with Amazon Suite for a couple of months now.

What do I think about the stability of the solution?

The stability of Amazon SQS is really high, and I would rate it a nine out of ten. The stability ensures the data is processed correctly without any loss.

What do I think about the scalability of the solution?

The scalability is pretty good, and I rate it around nine out of ten. It is possible to configure Amazon SQS to have several queues that may serve the same line but are divided into several consumers.

How are customer service and support?

Currently, I haven't communicated with technical support for Amazon SQS since I haven't faced any specific problems requiring their support.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

There was no previous solution before Amazon SQS.

How was the initial setup?

The initial setup was mostly straightforward. I would rate my experience with it a nine. The problem was not with the configuration but with understanding the AWS implementation.

What about the implementation team?

Only I was needed for the deployment since it was straightforward.

What was our ROI?

Amazon SQS contributes greatly to processing client requests, improves client-side performance, and maintains a high level of satisfaction for the consumers.

What's my experience with pricing, setup cost, and licensing?

The pricing is rather affordable, and I would rate it at two to three out of ten, with ten being the most expensive.

Which other solutions did I evaluate?

I haven't evaluated alternate solutions for the use case of SQS.

What other advice do I have?

I'd advise new users to look at the documentation and try to understand the basic queue and the implementation in Amazon SQS.

I'd rate the solution nine out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Team Lead and Senior Software Engineer at a tech services company with 11-50 employees
Real User
Efficient message handling with dead letter queue enhances communication
Pros and Cons
  • "The most valuable features include the ability to handle a huge number of messages and the presence of a dead letter queue."
  • "The search should be more user-friendly, allowing me to search for a longer period of time and return results faster."

What is our primary use case?

In our system, we have millions of users, and for certain actions, we need to send millions of messages, which Amazon SQS handles smoothly without any problems. It serves as a communication line between different applications or services. I use it to send messages between separate systems since we have multiple services built in a microservice architecture. These distributed services communicate with each other using SQS to send messages.

How has it helped my organization?

Amazon SQS handles a high volume of messages smoothly, without any problems, allowing efficient communication between services in our system.

What is most valuable?

The most valuable features include the ability to handle a huge number of messages and the presence of a dead letter queue. If any messages are missed from a service, they will go to the dead letter queue, allowing us to handle these cases. It's also a distributed queue, which is perfect for our system because we deal with large numbers of messages. Additionally, it provides data security, as failed messages go to the dead letter queue where they can be handled later.

What needs improvement?

I have a problem with Logstash when searching logs. The search should be more user-friendly, allowing me to search for a longer period of time and return results faster. This is my problem with AWS when searching the logs using Logstash.

For how long have I used the solution?

I have been working with SQS for many years because it's a main component in our system. In one project, I worked with CloudFormation for around two months. My experience with CloudFormation was about a year and a half ago, as we built it one time and rarely updated the stack.

What do I think about the stability of the solution?

I haven't encountered any stability issues while using Amazon SQS.

What do I think about the scalability of the solution?

The scalability is excellent. Amazon SQS can handle millions of messages smoothly and without issues.

How are customer service and support?

I'm not directly involved in communication with AWS technical support; this is typically handled by the DevOps team.

How would you rate customer service and support?

Positive

Which solution did I use previously and why did I switch?

Before Amazon SQS, the company used Kafka. SQS was implemented, possibly because it is scalable by itself and doesn't require extra effort from developers or cloud personnel to handle scalability and queue size.

How was the initial setup?

The initial setup is straightforward. The documentation is clear, allowing anyone to read it in ten minutes and start using the solution. There are detailed developer documents available, which are useful for understanding how it works and its technical details.

What's my experience with pricing, setup cost, and licensing?

The cost of AWS services, including SQS, can become high as the system scales. When handling a high volume or scalable system, the price increases and this might be a problem.

Which other solutions did I evaluate?

For me, no other message queue solutions have been used besides Amazon SQS.

What other advice do I have?

For users considering Amazon SQS, they should consider their budget, whether it is low or high, as pricing can be a concern.

I'd rate the solution ten out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Amazon Web Services (AWS)
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Ronnakit Vijidboonchuvong - PeerSpot reviewer
Staff Engineer at OPN
Real User
Supports fan-out pattern and is simpler than other alternatives
Pros and Cons
  • "I like how we can subscribe to multiple topics in Amazon SQS. It's also much simpler and quicker to set up than other solutions. It also supports patterns like Kafka and RapidMQ's fan-out pattern but with easier implementation."
  • "Amazon SQS is costly. I think there could be improvements in how it facilitates comparisons between different AWS products. A calculator would be helpful. The calculator for Kafka is based on factors like throughput or storage used in the last month. In contrast, the calculator for Amazon SQS is based on the number of transactions processed. These different approaches make it challenging to compare them directly. I suggest AWS provide a straightforward calculator where I can input one aspect, and it calculates costs for multiple solutions."

What is our primary use case?

The tool helps to process events in a microservices cluster. We use it in the financial industry. 

What is most valuable?

I like how we can subscribe to multiple topics in Amazon SQS. It's also much simpler and quicker to set up than other solutions. It also supports patterns like Kafka and RapidMQ's fan-out pattern but with easier implementation.

What needs improvement?

Amazon SQS is costly. I think there could be improvements in how it facilitates comparisons between different AWS products. A calculator would be helpful. The calculator for Kafka is based on factors like throughput or storage used in the last month. In contrast, the calculator for Amazon SQS is based on the number of transactions processed. These different approaches make it challenging to compare them directly. I suggest AWS provide a straightforward calculator where I can input one aspect, and it calculates costs for multiple solutions. 

For how long have I used the solution?

I have been working with the product for two years. 

What do I think about the stability of the solution?

I rate the product's stability a ten out of ten. 

What do I think about the scalability of the solution?

I rate the solution's scalability a ten out of ten. My company has 100 users. 

How was the initial setup?

I rate the solution's deployment ease an eight out of ten. Its deployment is generally quick, but it involves considerations around security, which are essential for DevOps teams. Typically, it takes about one week for deployment. However, if I handled it for my project personally, the deployment time would likely be shorter.

What's my experience with pricing, setup cost, and licensing?

I rate the tool's pricing a nine out of ten. 

What other advice do I have?

We manage and monitor our Amazon SQS performance and costs using DataOps. It helps us with intuitive data. Transitioning from our legacy tools to Amazon SQS would be beneficial because it's simple to set up and can serve as a pilot for our approach.

I rate the overall product an eight out of ten. 

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Tomáš Hronek - PeerSpot reviewer
Data Engineer at Merck
Real User
Top 5Leaderboard
A highly stable solution that is very quick and easy to build or set up
Pros and Cons
  • "It's very quick and easy to build or set up Amazon SQS."
  • "Sending or receiving messages takes some time, and it could be quicker."

What is our primary use case?

The tool I use to transform and move data can read the entries from Amazon SQS. For example, to start some workflow orchestration, it checks Amazon SQS, reads new messages from it, and then runs some transformation. My responsibility was setting up the new SQS, setting up the right policies, adding some text, and allowing communication.

What is most valuable?

It's very quick and easy to build or set up Amazon SQS. It's a very stable solution, and we have never faced any downtime issues.

What needs improvement?

Sending or receiving messages takes some time, and it could be quicker.

For how long have I used the solution?

I have been using Amazon SQS for one year.

What do I think about the stability of the solution?

I rate the solution ten out of ten for stability.

What do I think about the scalability of the solution?

Around 500 users are using the solution in our organization.

I rate Amazon SQS ten out of ten for scalability.

How was the initial setup?

The solution’s initial setup is straightforward.

What about the implementation team?

Beginners can very easily set up Amazon SQS. It requires just a few clicks and then some permissions. The solution can be installed in 15 minutes.

What's my experience with pricing, setup cost, and licensing?

Amazon SQS is moderately priced.

What other advice do I have?

Users need to check the number of messages. Since the solution works on a pay-as-you-go model, it could be expensive if the number of messages is very large.

Overall, I rate Amazon SQS a nine out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: February 2025
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Message Queue (MQ) Software
Buyer's Guide
Download our free Amazon SQS Report and get advice and tips from experienced pros sharing their opinions.