We performed a comparison between IBM Analytics Engine 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."The best part was that we could make minor changes in the way we were bifurcating the data, even at a very small scale. The accuracy of conversion was also very high."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"The stability was fine. It behaved as expected."
"This solution is useful to leverage within a distributed ecosystem."
"The solution is easy to understand if you have basic knowledge of SQL commands."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"Overall the solution is excellent."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"One area for improvement would be the initial setup stage, which took longer than expected."
"It takes a bit of time to get used to using this solution versus Pandas as it has a steep learning curve."
"This solution could be improved by adding monitoring and integration for the EMR."
"It would be beneficial for aggregate functions to include a code block or toolbox that explains its calculations or supported conditional statements."
"There are many inconsistencies in syntax for the different querying tasks."
"In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL."
"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."
"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."
IBM Analytics Engine is ranked 8th in Hadoop with 1 review while Spark SQL is ranked 4th in Hadoop with 14 reviews. IBM Analytics Engine is rated 8.0, while Spark SQL is rated 7.8. The top reviewer of IBM Analytics Engine writes " Good solution for small and medium-sized businesses and highly stable". On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". IBM Analytics Engine is most compared with HPE Ezmeral Data Fabric, whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, HPE Ezmeral Data Fabric, SAP HANA and Netezza Analytics.
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.