We performed a comparison between Amazon MSK and Apache Flink 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."Amazon MSK has significantly improved our organization by building seamless integration between systems."
"Overall, it is very cost-effective based on the workflow."
"It offers good stability."
"MSK has a private network that's an out-of-box feature."
"It is a stable product."
"The most valuable feature of Amazon MSK is the integration."
"The top feature of Apache Flink is its low latency for fast, real-time data. Another great feature is the real-time indicators and alerts which make a big difference when it comes to data processing and analysis."
"Allows us to process batch data, stream to real-time and build pipelines."
"The setup was not too difficult."
"This is truly a real-time solution."
"Apache Flink's best feature is its data streaming tool."
"It is user-friendly and the reporting is good."
"It provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."
"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."
"It does not autoscale. Because if you do keep it manually when you add a note to the cluster and then you register it, then it is scalable, but the fact that you have to go and do it, I think, makes it, again, a bit of some operational overhead when managing the cluster."
"It should be more flexible, integration-wise."
"It would be really helpful if Amazon MSK could provide a single installation that covers all the servers."
"The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET."
"Amazon MSK could improve on the features they offer. They are still lagging behind Confluence."
"The configuration seems a little complex and the documentation on the product is not available."
"Apache Flink's documentation should be available in more languages."
"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 machine learning library is not very flexible."
"There is a learning curve. It takes time to learn."
"We have a machine learning team that works with Python, but Apache Flink does not have full support for the language."
"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."
"One way to improve Flink would be to enhance integration between different ecosystems. For example, there could be more integration with other big data vendors and platforms similar in scope to how Apache Flink works with Cloudera. Apache Flink is a part of the same ecosystem as Cloudera, and for batch processing it's actually very useful but for real-time processing there could be more development with regards to the big data capabilities amongst the various ecosystems out there."
"In terms of improvement, there should be better reporting. You can integrate with reporting solutions but Flink doesn't offer it themselves."
Amazon MSK is ranked 6th in Streaming Analytics with 6 reviews while Apache Flink is ranked 5th in Streaming Analytics with 15 reviews. Amazon MSK is rated 7.2, while Apache Flink is rated 7.6. The top reviewer of Amazon MSK writes "Efficient real-time transaction tracking but time-consuming installation". On the other hand, the top reviewer of Apache Flink writes "A great solution with an intricate system and allows for batch data processing". Amazon MSK is most compared with Confluent, Amazon Kinesis, Azure Stream Analytics, Google Cloud Dataflow and Apache Spark Streaming, whereas Apache Flink is most compared with Amazon Kinesis, Spring Cloud Data Flow, Databricks, Azure Stream Analytics and IBM Streams. See our Amazon MSK vs. Apache Flink 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.
