We performed a comparison between Amazon Kinesis 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 scalability is pretty good."
"Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it."
"The feature that I've found most valuable is the replay. That is one of the most valuable in our business. We are business-to-business so replay was an important feature - being able to replay for 24 hours. That's an important feature."
"The solution's technical support is flawless."
"The most valuable feature of Amazon Kinesis is real-time data streaming."
"I have worked in companies that build tools in-house. They face scaling challenges."
"Amazon Kinesis has improved our ROI."
"Kinesis is a fully managed program streaming application. You can manage any infrastructure. It is also scalable. Kinesis can handle any amount of data streaming and process data from hundreds, thousands of processes in every source with very low latency."
"As of now, the most valuable aspects are the topic-based subscription and the fanout exchange that we are using."
"We like the seamless flexibility in protocol exchange offering without writing a code."
"One of the main reasons for using PubSub+ is that it is a proper event manager that can handle events in a reactive way."
"The event portal and the diversity of deployment options in a hybrid landscape are the most valuable features."
"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."
"The valuable feature of PubSub+ Event Broker is the speed of processing, publishing, and consumption."
"Guaranteed Messaging allows for us to transport messages between on-prem and the cloud without any loss of data."
"Amazon Kinesis should improve its limits."
"One area for improvement in the solution is the file size limitation of 10 Mb. My company works with files with a larger file size. The batch size and throughput also need improvement in Amazon Kinesis."
"In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to understand what's happening with a particular shard, whether it is published or not, we could not. Even with the logs, if we want to have some kind of logging it is in the shard."
"It would be beneficial if Amazon Kinesis provided document based support on the internet to be able to read the data from the Kinesis site."
"Lacks first in, first out queuing."
"In order to do a successful setup, the person handling the implementation needs to know the solution very well. You can't just come into it blind and with little to no experience."
"Something else to mention is that we use Kinesis with Lambda a lot and the fact that you can only connect one Stream to one Lambda, I find is a limiting factor. I would definitely recommend to remove that constraint."
"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."
"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."
"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."
"The product should allow third-party agents to be installed. Currently, it is quite proprietary."
"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."
"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 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."
"I would like them to design topic and queue schemas, mapping them to the enterprise data structure."
Amazon Kinesis is ranked 2nd in Streaming Analytics with 21 reviews while PubSub+ Event Broker is ranked 10th in Streaming Analytics with 15 reviews. Amazon Kinesis is rated 8.0, while PubSub+ Event Broker is rated 8.6. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming 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". Amazon Kinesis is most compared with Azure Stream Analytics, Apache Flink, Amazon MSK and Confluent, whereas PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, VMware RabbitMQ, ActiveMQ and Confluent. See our Amazon Kinesis vs. PubSub+ Event Broker report.
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