We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"For me, as an end-user, everything that I do on the solution is simple, clear, and understandable."
"The most valuable feature is the performance."
"The need for administration involvement is quite limited on the solution."
"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 solution could implement more reporting tools and networking utilities."
"The Analytics feature should be simplified."
"I'm not sure of IBM's roadmap currently, as the solution is coming up on its end of life."
"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."
"The solution is open-sourced and free."
Netezza Analytics is ranked 5th in Hadoop with 3 reviews while Spark SQL is ranked 3rd in Hadoop with 5 reviews. Netezza Analytics is rated 8.0, while Spark SQL is rated 7.0. The top reviewer of Netezza Analytics writes "A high-performance solution to create reports from our data mart, but the scalability needs improvement". On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Useful for speedily processing big data". Netezza Analytics is most compared with Apache Spark and HPE Ezmeral Data Fabric, whereas Spark SQL is most compared with IBM Db2 Big SQL, Amazon EMR, Apache Spark and Informatica Big Data Parser. See our Netezza Analytics vs. Spark SQL 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.