We performed a comparison between Cloudera Distribution for Hadoop and Hortonworks Data Platform based on real PeerSpot user reviews.
Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"The product is completely secure."
"We had a data warehouse before all the data. We can process a lot more data structures."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"The product as a whole is good."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"The scalability of Cloudera Distribution for Hadoop is excellent."
"The solution is reliable and stable, it fits our requirements."
"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."
"The data platform is pretty neat. The workflow is also really good."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"The scalability is the key reason why we are on this platform."
"The product offers a fairly easy setup process."
"The upgrades and patches must come from Hortonworks."
"It is a scalable platform."
"Ambari Web UI: user-friendly."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"The initial setup of Cloudera is difficult."
"The pricing needs to improve."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The price of this solution could be lowered."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"The cost of the solution is high and there is room for improvement."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"It would also be nice if there were less coding involved."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"Security and workload management need improvement."
"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."
"I would like to see more support for containers such as Docker and OpenShift."
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Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 47 reviews while Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews. Cloudera Distribution for Hadoop is rated 8.0, while Hortonworks Data Platform is rated 8.0. The top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". On the other hand, the top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, MongoDB and Cassandra, whereas Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric. See our Cloudera Distribution for Hadoop vs. Hortonworks Data Platform report.
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We monitor all Hadoop 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.
