We performed a comparison between Amazon MSK and Cloudera DataFlow 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."Overall, it is very cost-effective based on the workflow."
"Amazon MSK has significantly improved our organization by building seamless integration between systems."
"MSK has a private network that's an out-of-box feature."
"The most valuable feature of Amazon MSK is the integration."
"It offers good stability."
"It is a stable product."
"Amazon MSK has good integration because our team has been undergoing significant changes. Coupling it with MSK within AWS is helpful. We don't have to set up additionals or monitor external environments. This"
"The initial setup was not so difficult"
"This solution is very scalable and robust."
"DataFlow's performance is okay."
"The most effective features are data management and analytics."
"The configuration seems a little complex and the documentation on the product is not available."
"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."
"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."
"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."
"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."
"Although their workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages."
"It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning."
Amazon MSK is ranked 6th in Streaming Analytics with 7 reviews while Cloudera DataFlow is ranked 13th in Streaming Analytics with 4 reviews. Amazon MSK is rated 7.2, while Cloudera DataFlow is rated 7.2. The top reviewer of Amazon MSK writes "Streamlines our processes, and we don't need to configure any VPCs; it's automatic". On the other hand, the top reviewer of Cloudera DataFlow writes "Has good data management and analytics features". Amazon MSK is most compared with Confluent, Azure Stream Analytics, Amazon Kinesis, Google Cloud Dataflow and Spring Cloud Data Flow, whereas Cloudera DataFlow is most compared with Databricks, Confluent, Hortonworks Data Platform, Informatica Data Engineering Streaming and Spring Cloud Data Flow. See our Amazon MSK vs. Cloudera DataFlow report.
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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.