We performed a comparison between Amazon Kinesis 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."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."
"The most valuable feature of Amazon Kinesis is real-time data streaming."
"The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."
"The management and analytics are valuable features."
"What turns out to be most valuable is its integration with Lambda functions because you can process the data as it comes in. As soon as data comes, you'll fire a Lambda function to process a trench of data."
"The solution works well in rather sizable environments."
"Everything is hosted and simple."
"I find almost all features valuable, especially the timing and fast pace movement."
"DataFlow's performance is okay."
"This solution is very scalable and robust."
"The initial setup was not so difficult"
"Lacks first in, first out queuing."
"Amazon Kinesis should improve its limits."
"If there were better documentation on optimal sharding strategies then it would be helpful."
"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."
"I suggest integrating additional features, such as incorporating Amazon Pinpoint or Amazon Connect as bundled offerings, rather than deploying them as separate services."
"The price is not much cheaper. So, there is room for improvement in the pricing."
"Could include features that make it easier to scale."
"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."
"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."
"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."
"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."
Amazon Kinesis is ranked 2nd in Streaming Analytics with 21 reviews while Cloudera DataFlow is ranked 13th in Streaming Analytics with 3 reviews. Amazon Kinesis is rated 8.0, while Cloudera DataFlow is rated 6.6. The top reviewer of Amazon Kinesis writes "Used for media streaming and live-streaming data". On the other hand, the top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". Amazon Kinesis is most compared with Azure Stream Analytics, Apache Flink, Amazon MSK, Confluent and Google Cloud Dataflow, whereas Cloudera DataFlow is most compared with Databricks, Confluent, Amazon MSK, Spring Cloud Data Flow and Informatica Data Engineering Streaming. See our Amazon Kinesis vs. Cloudera DataFlow report.
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