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."The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."
"Amazon Kinesis also provides us with plenty of flexibility."
"I find almost all features valuable, especially the timing and fast pace movement."
"The management and analytics are valuable features."
"One of the best features of Amazon Kinesis is the multi-partition."
"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."
"Setting Amazon Kinesis up is quick and easy; it only takes a few minutes to configure the necessary settings and start using it."
"I have worked in companies that build tools in-house. They face scaling challenges."
"DataFlow's performance is okay."
"The most effective features are data management and analytics."
"This solution is very scalable and robust."
"The initial setup was not so difficult"
"Lacks first in, first out queuing."
"We were charged high costs for the solution’s enhanced fan-out feature."
"Could include features that make it easier to scale."
"There are certain shortcomings in the machine learning capacity offered by the product, making it an area where improvements are required."
"In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to understand what's happening with a particular shard, whether it is published or not, we could not. Even with the logs, if we want to have some kind of logging it is in the shard."
"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."
"Kinesis is good for Amazon Cloud but not as suitable for other cloud vendors."
"The services which are described in the documentation could use some visual presentation because for someone who is new to the solution the documentation is not easy to follow or beginner friendly and can leave a person feeling helpless."
"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'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."
Amazon Kinesis is ranked 1st in Streaming Analytics with 24 reviews while Cloudera DataFlow is ranked 13th in Streaming Analytics with 4 reviews. Amazon Kinesis is rated 8.0, while Cloudera DataFlow is rated 7.2. 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 "Has good data management and analytics features". 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, Hortonworks Data Platform and Informatica Data Engineering Streaming. See our Amazon Kinesis 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.