We performed a comparison between Google Cloud 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 service is relatively cheap compared to other batch-processing engines."
"The support team is good and it's easy to use."
"The solution allows us to program in any language we desire."
"The most valuable features of Google Cloud Dataflow are the integration, it's very simple if you have the complete stack, which we are using. It is overall very easy to use, user-friendly friendly, and cost-effective if you know how to use it. The solution is very flexible for programmers, if you know how to do scripts or program in Python or any other language, it's extremely easy to use."
"Google Cloud Dataflow is useful for streaming and data pipelines."
"The best feature of Google Cloud Dataflow is its practical connectedness."
"I don't need a server running all the time while using the tool. It is also easy to setup. The product offers a pay-as-you-go service."
"It is a scalable solution."
"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."
"As of now, the most valuable aspects are the topic-based subscription and the fanout exchange that we are using."
"The valuable feature of PubSub+ Event Broker is the speed of processing, publishing, and consumption."
"We like the seamless flexibility in protocol exchange offering without writing a code."
"The most useful features has been the WAN optimization and probably the HybridEdge, which requires some third-party adapters or plugins. The idea that we can position Solace as a protocol-agnostic message transport fabric is key to our company having all manners of asynchronous messaging protocols from MQ, Kafka, JMS, etc. I really like the WAN optimization: Send once over a WAN, then distribute locally as many times as there are subscribers."
"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."
"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."
"When it comes to granularity, you can literally do anything regarding how the filtering works."
"The solution's setup process could be more accessible."
"The deployment time could also be reduced."
"Google Cloud Dataflow should include a little cost optimization."
"The technical support has slight room for improvement."
"There are certain challenges regarding the Google Cloud Composer which can be improved."
"When I deploy the product in local errors, a lot of errors pop up which are not always caught. The solution's error logging is bad. It can take a lot of time to debug the errors. It needs to have better logs."
"I would like Google Cloud Dataflow to be integrated with IT data flow and other related services to make it easier to use as it is a complex tool."
"They should do a market survey and then make improvements."
"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."
"The licensing and the cost are the major pitfalls."
"I would like them to design topic and queue schemas, mapping them to the enterprise data structure."
"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."
"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 product should allow third-party agents to be installed. Currently, it is quite proprietary."
Google Cloud Dataflow is ranked 7th in Streaming Analytics with 10 reviews while PubSub+ Event Broker is ranked 10th in Streaming Analytics with 15 reviews. Google Cloud Dataflow is rated 7.8, while PubSub+ Event Broker is rated 8.6. The top reviewer of Google Cloud Dataflow writes "Easy to use for programmers, user-friendly, and scalable". 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". Google Cloud Dataflow is most compared with Databricks, Apache NiFi, Amazon MSK, Amazon Kinesis and Spring Cloud Data Flow, whereas PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, ActiveMQ, VMware RabbitMQ and Confluent. See our Google Cloud Dataflow vs. PubSub+ Event Broker report.
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