We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The scalability is the key reason why we are on this platform."
"Hortonworks should not be expensive at all to those looking into using it."
"The data platform is pretty neat. The workflow is also really good."
"Overall the solution is excellent."
"The speed of getting data."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"It is a stable solution."
"Data validation and ease of use are the most valuable features."
"The version control of the software is also an issue."
"It would also be nice if there were less coding involved."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"Anything to improve the GUI would be helpful."
"In the next update, we'd like to see better performance for small points of data. It is possible but there are better tools that are faster and cheaper."
"Being a new user, I am not able to find out how to partition it correctly. I probably need more information or knowledge. In other database solutions, you can easily optimize all partitions. I haven't found a quicker way to do that in Spark SQL. It would be good if you don't need a partition here, and the system automatically partitions in the best way. They can also provide more educational resources for new users."
"There should be better integration with other solutions."
"It is priced well and it is affordable"
"The solution is open-sourced and free."
Hortonworks Data Platform is ranked 5th in Hadoop with 2 reviews while Spark SQL is ranked 4th in Hadoop with 5 reviews. Hortonworks Data Platform is rated 8.6, while Spark SQL is rated 7.0. The top reviewer of Hortonworks Data Platform writes "A modeling and analysis data platform that is inexpensive and stable". On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Useful for speedily processing big data". Hortonworks Data Platform is most compared with HPE Ezmeral Data Fabric, Amazon EMR, Cloudera DataFlow, Apache Spark and Cloudera Distribution for Hadoop, whereas Spark SQL is most compared with IBM Db2 Big SQL, Amazon EMR, Apache Spark, Informatica Big Data Parser and Netezza Analytics. See our Hortonworks Data Platform vs. Spark SQL report.
See our list of best Hadoop vendors.
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.