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."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."
"The solution is easy to scale and cost-effective."
"The libraries that connect and manage the queues are rich in features."
"With SQS, we can trigger events in various cloud environments. It offers numerous benefits for us."
"It's very quick and easy to build or set up Amazon SQS."
"We use the tool in interface integrations."
"It is stable and scalable."
"I am able to find out what's going on very easily."
"The product has been stable and I have never faced any kind of problems with it."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"Very fast for query processing."
"We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database."
"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."
"The loading speed is very good."
"A very good, open-source platform."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"Support could be improved."
"I cannot send a message to multiple people simultaneously. It can only be sent to one recipient."
"I do not think that this solution is easy to use and the documentation of this solution has a lot of problems and can be improved in the next release. Most of the time, the images in the document are from older versions."
"The solution is not available on-premises so that rules out any customers looking for the messaging solution on-premises."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"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."
"I would like to see the performance of the administration portal improved and additional messaging protocols."
"The product needs to focus on offering more use case documentation because browsing the internet to find it can be a process filled with struggles."
"The user interface could be improved."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."
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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