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 tool can be deployed using different container technologies, which makes it very scalable."
"I don't see any performance issues."
"The most valuable feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"Cloudera is a very manageable solution with good support."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"The features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"The most valuable feature is Impala, the querying engine, which is very fast."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."
"Hortonworks should not be expensive at all to those looking into using it."
"Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request."
"The data platform is pretty neat. The workflow is also really good."
"Ambari Web UI: user-friendly."
"The upgrades and patches must come from Hortonworks."
"It is a scalable platform."
"We use it for data science activities."
"Ranger for security; with Ranger we can manager user’s permissions/access controls very easily."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"Cloudera Distribution for Hadoop has a limited feature list and a lot of costs involved."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"The procedure for operations could be simplified."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"I would like to see more support for containers such as Docker and OpenShift."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."
"The cost of the solution is high and there is room for improvement."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"It would also be nice if there were less coding involved."
"It's at end of life and no longer will there be improvements."
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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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