We performed a comparison between ActiveMQ 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."The most valuable feature of this solution is the holding and forwarding."
"For reliable messaging, the most valuable feature of ActiveMQ for us is ensuring prompt message delivery."
"Message broadcasting: There could be a use case sending the same message to all consumers. So as a producer, I broadcast the message to a topic. Then, whichever consumers are subscribed to the topic can consume the same message."
"I appreciate many features including queue, topic, durable topic, and selectors. I also value a different support for different protocols such as MQTT and AMQP. It has full support for EIP, REST, Message Groups, UDP, and TCP."
"The initial setup is straightforward and only takes a few minutes."
"I'm impressed, I think that Active MQ is great."
"Most people or many people recommended using ActiveMQ on small and medium-scale applications."
"I am impressed with the tool’s latency. Also, the messages in ActiveMQ wait in a queue. The messages will start to move when the system reopens after getting stuck."
"The most valuable feature is that it's really customizable."
"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."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We can integrate RabbitMQ using various languages like Java or Python using the provided SDKs."
"The stability of this solution was very good."
"Pivotal Greenplum's shared-nothing architecture."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"The solution can improve the other protocols to equal the AMQ protocol they offer."
"Needs to focus on a certain facet and be good at it, instead of handling support for most of the available message brokers."
"The clustering for sure needs improvement. When we were using it, the only thing available was an active/passive relationship that had to be maintained via shared file storage. That model includes a single point of failure in that storage medium."
"The UI. It's both a good thing and a bad thing. The UI is too simple. Sometimes you wanna see the messages coming to the queue, and you have to refresh the dashboard, the console of the product."
"The tool needs to improve its installation part which is lengthy. The product is already working on that aspect so that the complete installation gets completed within a month."
"It would be great if it is included as part of the solution, as Kafka is doing. Even though the use case of Kafka is different, If something like data extraction is possible, or if we can experiment with partition tolerance and other such things, that will be great."
"There are some stability issues."
"From the TPS point of view, it's like 100,000 transactions that need to be admitted from different devices and also from the different minor small systems. Those are best fit for Kafka. We have used it on the customer side, and we thought of giving a try to ActiveMQ, but we have to do a lot of performance tests and approval is required before we can use it for this scale."
"There are some security concerns that have been raised with this product."
"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 next release should include some of the flexibility and features that Kafka offers."
"When you have complex tasks, RabbitMQ is hard to use."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"VMware RabbitMQ's configuration process could be easier to understand."
"If you're outside IP address range, the clustering no longer has all the features which is problematic."
ActiveMQ is ranked 4th in Message Queue (MQ) Software with 24 reviews while VMware Tanzu Data Services is ranked 3rd in Message Queue (MQ) Software with 81 reviews. ActiveMQ is rated 7.8, while VMware Tanzu Data Services is rated 8.0. The top reviewer of ActiveMQ writes "Allows for asynchronous communication, enabling services to operate independently but issues with stability". 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 ". ActiveMQ is most compared with IBM MQ, Anypoint MQ, Red Hat AMQ, Amazon SQS and Apache Kafka, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka, Red Hat AMQ and Oracle Exadata. See our ActiveMQ vs. VMware Tanzu Data Services report.
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