We performed a comparison between Cloudera DataFlow and PubSub+ Event Broker based on real PeerSpot user reviews.
Find out in this report how the two Streaming Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The initial setup was not so difficult"
"This solution is very scalable and robust."
"DataFlow's performance is okay."
"As of now, the most valuable aspects are the topic-based subscription and the fanout exchange that we are using."
"Going from something where we had outages and capacity issues constantly to a system that was able to scale with the massive market data and messaging spikes that happened during the initial stages of the COVID crisis in March, we were able to scale with 40 plus percent growth in our platform over the course of days."
"When it comes to granularity, you can literally do anything regarding how the filtering works."
"Guaranteed Messaging allows for us to transport messages between on-prem and the cloud without any loss of data."
"The way we can replicate information and send it to several subscribers is most valuable. It can be used for any kind of business where you've got multiple users who need information. Any company, such as LinkedIn, with a huge number of subscribers and any business, such as publishing, supermarket, airline, or shipping can use it."
"The valuable feature of PubSub+ Event Broker is the speed of processing, publishing, and consumption."
"When we went to add another installation in our private cloud, it was easy. We received support from Solace and the install was seamless with no issues."
"In my assessment of Solace against other products — as I was responsible for evaluating various products and bringing the right tool into companies in the past — I worked with multiple platforms like RabbitMQ, Confluent, Kafka, and various other tools in the market. But I found the event mesh capability to be a very interesting as well as fulfilling capability, towards what we want to achieve from a digital-integration-strategy point of view... It's distributed, yet it is intelligently connected. It can also span and I can plug and play any number of brokers into the event mesh, so it's a great deal. That's a differentiator."
"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."
"It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning."
"Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."
"We have requested to be able to get into the payload to do dynamic topic hierarchy building. A current workaround is using the message's header, where the business data can be put into this header and be used for a dynamic topic lookup. I want to see this in action when there are a couple of hundred cases live. E.g., how does it perform? From an administration perspective, is the ease of use there?"
"We've pointed out some things with the DMR piece, the event mesh, in edge cases where we could see a problem. Something like 99 percent of users wouldn't ever see this problem, but it has to do with if you get multiple bad clients sending data over a WAN, for example. That could then impact other clients."
"One of the areas of improvement would be if we could tell the story a bit better about what an event mesh does or why an event mesh is foundational to a large enterprise that has a wide diversity of applications that are homegrown and a small number off the shelf."
"If you create one event in the past, you cannot resend it."
"Some of the feature's gaps with some of the open-source vendors have been closed in a lot of ways. Being more agile and addressing those earlier could be an area for improvement."
"For improvements, I would suggest increasing the max payload size to a limit of 100MB or more. The current max payload size is limited to 5MB."
"The ease of management could be approved. The GUI is very good, but to configure and manage these devices programmatically in the software version is not easy. For example, if I would like to spin up a new software broker, then I could in theory use the API, but it would require a considerable amount of development effort to do so. There should be a tool, or something that Solace supports, that we could use for this, e.g., a platform like Terraform where we could use infrastructure as code to configure our source appliances."
"The deployment process is complex."
Cloudera DataFlow is ranked 13th in Streaming Analytics with 3 reviews while PubSub+ Event Broker is ranked 10th in Streaming Analytics with 15 reviews. Cloudera DataFlow is rated 6.6, while PubSub+ Event Broker is rated 8.6. The top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". On the other hand, the top reviewer of PubSub+ Event Broker writes "Event life cycle management changes the way a designer or architect will design a topic and discover what is available". Cloudera DataFlow is most compared with Databricks, Confluent, Amazon MSK, Informatica Data Engineering Streaming and Hortonworks Data Platform, whereas PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, ActiveMQ, VMware RabbitMQ and Confluent. See our Cloudera DataFlow vs. PubSub+ Event Broker report.
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