We performed a comparison between QueryIO and Spark SQL based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop."Anyone who has even a little bit of knowledge of the solution can begin to create things. You don't have to be technical to use the solution."
"Overall the solution is excellent."
"The speed of getting data."
"It is a stable solution."
"Data validation and ease of use are the most valuable features."
"This solution is useful to leverage within a distributed ecosystem."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"The stability was fine. It behaved as expected."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"There needs to be some simplification of the user interface."
"There are many inconsistencies in syntax for the different querying tasks."
"I've experienced some incompatibilities when using the Delta Lake format."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"There should be better integration with other solutions."
"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."
"Anything to improve the GUI would be helpful."
"This solution could be improved by adding monitoring and integration for the EMR."
"It takes a bit of time to get used to using this solution versus Pandas as it has a steep learning curve."
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QueryIO is ranked 16th in Hadoop while Spark SQL is ranked 4th in Hadoop with 14 reviews. QueryIO is rated 8.0, while Spark SQL is rated 7.8. The top reviewer of QueryIO writes "Stable with good connectivity and good integration capabilities". On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". QueryIO is most compared with Splice Machine, whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, HPE Ezmeral Data Fabric, SAP HANA and Netezza Analytics.
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