We performed a comparison between Amazon SQS and VMware Tanzu Data Services based on real PeerSpot user reviews.
Find out in this report how the two Message Queue (MQ) Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I appreciate that Amazon SQS is fully integrated with Amazon and can be accessed through normal functions or serverless functions, making it very user-friendly. Additionally, the features are comparable to those of other solutions."
"The most valuable feature of Amazon SQS is the interface."
"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."
"I am able to find out what's going on very easily."
"SQS is very stable, and it has lots of features."
"The libraries that connect and manage the queues are rich in features."
"We use the tool in interface integrations."
"One of the useful features is the ability to schedule a call after a certain number of messages accumulate in the container. For example, if there are ten messages in the container, you can perform a specific action."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"The product's feature of data transaction works fast."
"Reliability for the messages is key. RabbitMQ ensures your messages are safe. They are not deleted and stuff."
"The security is great."
"The solution can scale."
"Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"The most valuable feature is asynchronous calls, which are easy to configure."
"The current visibility timeout of five minutes is okay. However, I'd like to explore the possibility of extending it for specific use cases."
"The initial setup of Amazon SQS is in the middle range of difficulty. You need to learn Amazon AWS and know how to navigate, create resources, and structures, and provide rules."
"Be cautious around pay-as-you-use licensing as costs can become expensive."
"Sending or receiving messages takes some time, and it could be quicker."
"I cannot send a message to multiple people simultaneously. It can only be sent to one recipient."
"As a company that uses IBM solutions, it's difficult to compare Amazon SQS to other solutions. We have been using IBM solutions for a long time and they are very mature in integration and queuing. In my role as an integration manager, I can say that Amazon SQS is designed primarily for use within the Amazon ecosystem and does not have the same level of functionality as IBM MQ or other similar products. It has limited connectivity options and does not easily integrate with legacy systems."
"The tool needs improvement in user-friendliness and discoverability."
"There are some issues with SQS's transaction queue regarding knowing if something has been received."
"If you're outside IP address range, the clustering no longer has all the features which is problematic."
"The fact that a single queue can't be distributed across multiple instances/nodes is a major disadvantage."
"The next release should include some of the flexibility and features that Kafka offers."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"I would like to see the performance of the administration portal improved and additional messaging protocols."
"Extra filters would be helpful."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
Amazon SQS is ranked 5th in Message Queue (MQ) Software with 13 reviews while VMware Tanzu Data Services is ranked 3rd in Message Queue (MQ) Software with 81 reviews. Amazon SQS is rated 8.2, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Amazon SQS writes "Stable, useful interface, and scales well". On the other hand, the top reviewer of VMware Tanzu Data Services writes "Reliable queueing functionality and versatile tool that can be used with any programming languages ". Amazon SQS is most compared with Redis, Apache Kafka, Amazon MQ and Anypoint MQ, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka, Red Hat AMQ and ActiveMQ. See our Amazon SQS vs. VMware Tanzu Data Services report.
See our list of best Message Queue (MQ) Software vendors.
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