We performed a comparison between Apache Spark Streaming 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."Apache Spark Streaming is versatile. You can use it for competitive intelligence, gathering data from competitors, or for internal tasks like monitoring workflows."
"Apache Spark Streaming's most valuable feature is near real-time analytics. The developers can build APIs easily for a code-steaming pipeline. The solutions have an ecosystem of integration with other stock services."
"Apache Spark Streaming has features like checkpointing and Streaming API that are useful."
"As an open-source solution, using it is basically free."
"The solution is better than average and some of the valuable features include efficiency and stability."
"Apache Spark Streaming was straightforward in terms of maintenance. It was actively developed, and migrating from an older to a newer version was quite simple."
"The solution is very stable and reliable."
"It's the fastest solution on the market with low latency data on data transformations."
"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 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 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."
"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."
"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 event portal and the diversity of deployment options in a hybrid landscape are the most valuable features."
"The valuable feature of PubSub+ Event Broker is the speed of processing, publishing, and consumption."
"We would like to have the ability to do arbitrary stateful functions in Python."
"There could be an improvement in the area of the user configuration section, it should be less developer-focused and more business user-focused."
"The service structure of Apache Spark Streaming can improve. There are a lot of issues with memory management and latency. There is no real-time analytics. We recommend it for the use cases where there is a five-second latency, but not for a millisecond, an IOT-based, or the detection anomaly-based. Flink as a service is much better."
"It was resource-intensive, even for small-scale applications."
"In terms of improvement, the UI could be better."
"The solution itself could be easier to use."
"The cost and load-related optimizations are areas where the tool lacks and needs improvement."
"The initial setup is quite 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."
"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 product should allow third-party agents to be installed. Currently, it is quite proprietary."
"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?"
"It could be cheaper. It could also have easier usage. It is a brilliant product, but it is quite complex to use."
"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 deployment process is complex."
Apache Spark Streaming is ranked 8th in Streaming Analytics with 6 reviews while PubSub+ Event Broker is ranked 9th in Streaming Analytics with 7 reviews. Apache Spark Streaming is rated 8.0, while PubSub+ Event Broker is rated 8.6. The top reviewer of Apache Spark Streaming writes "Easy deployment as a cluster and good documentation". On the other hand, the top reviewer of PubSub+ Event Broker writes "We can add an application or users in the middle of the day, with no disruption to anyone". Apache Spark Streaming is most compared with Amazon Kinesis, Azure Stream Analytics, Spring Cloud Data Flow, Confluent and Apache Pulsar, whereas PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, VMware RabbitMQ, ActiveMQ and Confluent. See our Apache Spark Streaming vs. PubSub+ Event Broker report.
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.