We performed a comparison between Azure Stream Analytics 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."Provides deep integration with other Azure resources."
"Real-time analytics is the most valuable feature of this solution. I can send the collected data to Power BI in real time."
"We find the query editor feature of this solution extremely valuable for our business."
"The most valuable features of Azure Stream Analytics are the ease of provisioning and the interface is not terribly complex."
"I like the way the UI looks, and the real-time analytics service is aligned to this. That can be helpful if I have to use this on a production service."
"It's scalable as a cloud product."
"The integrations for this solution are easy to use and there is flexibility in integrating the tool with Azure Stream Analytics."
"The solution's most valuable feature is its ability to create a query using SQ."
"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."
"The most valuable feature of PubSub+ Event Broker is the scaling integration. Prior to using the solution, it was done manually with a file, and it can be done instantly live."
"When it comes to granularity, you can literally do anything regarding how the filtering works."
"The event portal and the diversity of deployment options in a hybrid landscape are the most valuable features."
"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."
"The topic hierarchy is pretty flexible. Once you have the subject defined just about anybody who knows Java can come onboard. The APIs are all there."
"One of the main reasons for using PubSub+ is that it is a proper event manager that can handle events in a reactive way."
"We would like to have centralized platform altogether since we have different kind of options for data ingestion. Sometimes it gets difficult to manage different platforms."
"One area that could use improvement is the handling of data validation. Currently, there is a review process, but sometimes the validation fails even before the job is executed. This results in wasted time as we have to rerun the job to identify the failure."
"There may be some issues when connecting with Microsoft Power BI because we are providing the input and output commands, and there's a chance of it being delayed while connecting."
"I would like to have a contact individual at Microsoft."
"Azure Stream Analytics could improve by having clearer metrics as to the scale, more metrics around the data set size that is flowing through it, and performance tuning recommendations."
"Easier scalability and more detailed job monitoring features would be helpful."
"It is not complex, but it requires some development skills. When the data is sent from Azure Stream Analytics to Power BI, I don't have the access to modify the data. I can't customize or edit the data or do some queries. All queries need to be done in the Azure Stream Analytics."
"The only challenge was that the streaming analytics area in Azure Stream Analytics could not meet our company's expectations, making it a component where improvements are required."
"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."
"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?"
"The section on observability pertains to understanding the functioning of an event crash. Instead of focusing on how the crash occurs, attention is given to the observable aspects, such as a memory pipeline where one person pushes messages and another reads them. However, this pipeline often encounters issues, such as the reader being unavailable, causing the system to become stuck and preventing the messages from moving forward. This can lead to the pipeline being permanently stalled."
"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."
"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 product should allow third-party agents to be installed. Currently, it is quite proprietary."
"A challenge we currently have is Solace's ability to integrate with single sign-on in our Active Directory and other single sign-on tools and platforms that any company would have. It's important for the platforms to work. Typically, they support only LDAP-based connectivity to our SQL Servers."
"The licensing and the cost are the major pitfalls."
Azure Stream Analytics is ranked 4th in Streaming Analytics with 22 reviews while PubSub+ Event Broker is ranked 10th in Streaming Analytics with 15 reviews. Azure Stream Analytics is rated 8.2, while PubSub+ Event Broker is rated 8.6. The top reviewer of Azure Stream Analytics writes "Easy to set up and user-friendly, but could be priced better". 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". Azure Stream Analytics is most compared with Amazon Kinesis, Databricks, Amazon MSK and Apache Flink, whereas PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, VMware RabbitMQ, ActiveMQ and Confluent. See our Azure Stream Analytics vs. PubSub+ Event Broker report.
See our list of best Streaming Analytics vendors.
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