We performed a comparison between Apache Flink 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."It provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."
"The product helps us to create both simple and complex data processing tasks. Over time, it has facilitated integration and navigation across multiple data sources tailored to each client's needs. We use Apache Flink to control our clients' installations."
"Allows us to process batch data, stream to real-time and build pipelines."
"The event processing function is the most useful or the most used function. The filter function and the mapping function are also very useful because we have a lot of data to transform. For example, we store a lot of information about a person, and when we want to retrieve this person's details, we need all the details. In the map function, we can actually map all persons based on their age group. That's why the mapping function is very useful. We can really get a lot of events, and then we keep on doing what we need to do."
"Another feature is how Flink handles its radiuses. It has something called the checkpointing concept. You're dealing with billions and billions of requests, so your system is going to fail in large storage systems. Flink handles this by using the concept of checkpointing and savepointing, where they write the aggregated state into some separate storage. So in case of failure, you can basically recall from that state and come back."
"Apache Flink's best feature is its data streaming tool."
"Apache Flink is meant for low latency applications. You take one event opposite if you want to maintain a certain state. When another event comes and you want to associate those events together, in-memory state management was a key feature for us."
"With Flink, it provides out-of-the-box checkpointing and state management. It helps us in that way. When Storm used to restart, sometimes we would lose messages. With Flink, it provides guaranteed message processing, which helped us. It also helped us with maintenance or restarts."
"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."
"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 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."
"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 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."
"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."
"Amazon's CloudFormation templates don't allow for direct deployment in the private subnet."
"We have a machine learning team that works with Python, but Apache Flink does not have full support for the language."
"In a future release, they could improve on making the error descriptions more clear."
"The machine learning library is not very flexible."
"Apache Flink should improve its data capability and data migration."
"There is a learning curve. It takes time to learn."
"In terms of stability with Flink, it is something that you have to deal with every time. Stability is the number one problem that we have seen with Flink, and it really depends on the kind of problem that you're trying to solve."
"The state maintains checkpoints and they use RocksDB or S3. They are good but sometimes the performance is affected when you use RocksDB for checkpointing."
"The licensing and the cost are the major pitfalls."
"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."
"If you create one event in the past, you cannot resend it."
"The deployment process is complex."
"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 integrations could improve in PubSub+ Event Broker."
"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."
"For improvements, I would suggest increasing the max payload size to a limit of 100MB or more. The current max payload size is limited to 5MB."
Apache Flink is ranked 5th in Streaming Analytics with 15 reviews while PubSub+ Event Broker is ranked 10th in Streaming Analytics with 15 reviews. Apache Flink is rated 7.6, while PubSub+ Event Broker is rated 8.6. The top reviewer of Apache Flink writes "A great solution with an intricate system and allows for batch data processing". 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". Apache Flink is most compared with Spring Cloud Data Flow, Amazon Kinesis, Databricks, Azure Stream Analytics and Apache Pulsar, whereas PubSub+ Event Broker is most compared with Apache Kafka, IBM MQ, ActiveMQ, VMware Tanzu Data Services and Confluent. See our Apache Flink vs. PubSub+ Event Broker report.
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