We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The initial setup is pretty straightforward."
"The stability was fine. It behaved as expected."
"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."
"The dashboard management could be better. Right now, it's lacking a bit."
"In the next release, maybe the visualization of some command-line features could be added."
"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."
Amazon EMR is ranked 7th in Hadoop with 1 review while Spark SQL is ranked 6th in Hadoop with 5 reviews. Amazon EMR is rated 4.0, while Spark SQL is rated 6.6. The top reviewer of Amazon EMR writes "Stable but could offer better dashboard management and workarounds for multi-factor authentication". On the other hand, the top reviewer of Spark SQL writes "GUI could be improved. Useful for speedily processing big data". Amazon EMR is most compared with Cloudera Distribution for Hadoop, Hortonworks Data Platform, Apache Spark, HPE Ezmeral Data Fabric and Pentaho Data Integration, whereas Spark SQL is most compared with Apache Spark and IBM Db2 Big SQL.
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.