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."
"Amazon Kinesis also provides us with plenty of flexibility."
"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."
"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's technical support is flawless."
"From my experience, one of the most valuable features is the ability to track silent events on endpoints. Previously, these events might have gone unnoticed, but now we can access them within the product range. For example, if a customer reports that their calls are not reaching the portal files, we can use this feature to troubleshoot and optimize the system."
"The solution works well in rather sizable environments."
"The most valuable feature of Amazon Kinesis is real-time data streaming."
"The initial setup was not so difficult"
"This solution is very scalable and robust."
"DataFlow's performance is okay."
"One thing that would be nice would be a policy for increasing the number of Kinesis streams because that's the one thing that's constant. You can change it in real time, but somebody has to change it, or you have to set some kind of meter. So, auto-scaling of adding and removing streams would be nice."
"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."
"I suggest integrating additional features, such as incorporating Amazon Pinpoint or Amazon Connect as bundled offerings, rather than deploying them as separate services."
"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."
"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."
"Snapshot from the the from the the stream of the data analytic I have already on the cloud, do a snapshot to not to make great or to get the data out size of the web service. But to stop the process and restart a few weeks later when I have more data or more available of the client teams."
"The solution has a two-minute maximum time delay for live streaming, which could be reduced."
"AI processing or cleaning up data would be nice since I don't think it is a feature in Amazon Kinesis right now."
"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."
"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."
Amazon Kinesis is ranked 1st in Streaming Analytics with 24 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, Amazon MSK, Confluent, Apache Flink and Google Cloud Dataflow, whereas Cloudera DataFlow is most compared with Databricks, Confluent, Amazon MSK, Informatica Data Engineering Streaming and Hortonworks Data Platform. See our Amazon Kinesis vs. Cloudera DataFlow report.
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