We performed a comparison between Cloudera DataFlow and Hortonworks Data Platform based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Amazon, Confluent and others in Streaming Analytics."The initial setup was not so difficult"
"This solution is very scalable and robust."
"DataFlow's performance is okay."
"It is a scalable platform."
"Hortonworks should not be expensive at all to those looking into using it."
"The upgrades and patches must come from Hortonworks."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"The product offers a fairly easy setup process."
"The data platform is pretty neat. The workflow is also really good."
"The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"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"It's an outdated legacy product that doesn't meet the needs of modern data analysts and scientists."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."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"More information could be there to simplify the process of running the product."
"Security and workload management need improvement."
"It would also be nice if there were less coding involved."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"It's at end of life and no longer will there be improvements."
"The version control of the software is also an issue."
"I would like to see more support for containers such as Docker and OpenShift."
Cloudera DataFlow is ranked 13th in Streaming Analytics with 3 reviews while Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews. Cloudera DataFlow is rated 6.6, while Hortonworks Data Platform is rated 8.0. The top reviewer of Cloudera DataFlow writes "A scalable and robust platform for analyzing data". On the other hand, the top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". Cloudera DataFlow is most compared with Databricks, Confluent, Amazon MSK, Spring Cloud Data Flow and Informatica Data Engineering Streaming, whereas Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark and HPE Ezmeral Data Fabric.
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.