We performed a comparison between PubSub+ Event Broker and Spring Cloud Data Flow based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics."The valuable feature of PubSub+ Event Broker is the speed of processing, publishing, and consumption."
"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."
"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."
"We've built a lot of products into it and it's been quite easy to feed market data onto the systems and put entitlements and controls around that. That was a big win for us when we were consolidating our platforms down. Trying to have one event bus, one messaging bus, for the whole globe, and consolidate everything over time, has been key for us. We've been able to do that through one API, even if it's across the different languages."
"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."
"The event portal and the diversity of deployment options in a hybrid landscape are the most valuable features."
"This solution reduces the latency to access changes in real-time and the effort required to onboard a new subscriber. It also reduces the maintenance of each of those interfaces because now the publisher and subscribers are decoupled. Event Broker handles all the communication and engagement. We can just push one update, then we don't have to know who is consuming it and what's happening to that publication downstream. It's all done by the broker, which is a huge benefit of using Event Broker."
"The product is very user-friendly."
"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."
"The most valuable feature is real-time streaming."
"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."
"If you create one event in the past, you cannot resend it."
"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 integrations could improve in PubSub+ Event Broker."
"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?"
"I would like them to design topic and queue schemas, mapping them to the enterprise data structure."
"It could be cheaper. It could also have easier usage. It is a brilliant product, but it is quite complex to use."
"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."
"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."
"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."
"Some of the features, like the monitoring tools, are not very mature and are still evolving."
"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."
"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."
PubSub+ Event Broker is ranked 9th in Streaming Analytics with 15 reviews while Spring Cloud Data Flow is ranked 10th in Streaming Analytics with 5 reviews. PubSub+ Event Broker is rated 8.6, while Spring Cloud Data Flow is rated 8.0. 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". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, VMware RabbitMQ, ActiveMQ and Confluent, whereas Spring Cloud Data Flow is most compared with Apache Flink, Google Cloud Dataflow, Apache Spark Streaming, Azure Data Factory and Mule Anypoint Platform.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.