We performed a comparison between IBM InfoSphere BigInsights [EOL] 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."InfoSphere Streams was the one core product from the platform in which we were using. We were building a real-time response system and we built it on InfoSphere Streams."
"The speed of getting data."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"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 team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"Data validation and ease of use are the most valuable features."
"The solution is easy to understand if you have basic knowledge of SQL commands."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"The UI was not interactive: Responses used to be very slow and hang up at times."
"In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL."
"SparkUI could have more advanced versions of the performance and the queries and all."
"Anything to improve the GUI would be helpful."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"It would be useful if Spark SQL integrated with some data visualization tools."
"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."
"This solution could be improved by adding monitoring and integration for the EMR."
"I've experienced some incompatibilities when using the Delta Lake format."
Earn 20 points
IBM InfoSphere BigInsights [EOL] doesn't meet the minimum requirements to be ranked in Hadoop while Spark SQL is ranked 4th in Hadoop with 14 reviews. IBM InfoSphere BigInsights [EOL] is rated 7.6, while Spark SQL is rated 7.8. The top reviewer of IBM InfoSphere BigInsights [EOL] writes "The BIQSQL implementation is fully SQL ANSI compliant, but I have found a lot of issues in Fluid Query". On the other hand, the top reviewer of Spark SQL writes "Offers the flexibility to handle large-scale data processing". IBM InfoSphere BigInsights [EOL] is most compared with , whereas Spark SQL is most compared with Apache Spark, IBM Db2 Big SQL, SAP HANA, HPE Ezmeral Data Fabric and Netezza Analytics.
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