We performed a comparison between Apache Spark and IBM InfoSphere BigInsights [EOL] 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 most valuable feature of Apache Spark is its flexibility."
"The good performance. The nice graphical management console. The long list of ML algorithms."
"The solution is very stable."
"It is useful for handling large amounts of data. It is very useful for scientific purposes."
"It is highly scalable, allowing you to efficiently work with extensive datasets that might be problematic to handle using traditional tools that are memory-constrained."
"Features include machine learning, real time streaming, and data processing."
"The processing time is very much improved over the data warehouse solution that we were using."
"The product’s most valuable features are lazy evaluation and workload distribution."
"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."
"This solution currently cannot support or distribute neural network related models, or deep learning related algorithms. We would like this functionality to be developed."
"When you are working with large, complex tasks, the garbage collection process is slow and affects performance."
"It requires overcoming a significant learning curve due to its robust and feature-rich nature."
"They could improve the issues related to programming language for the platform."
"The graphical user interface (UI) could be a bit more clear. It's very hard to figure out the execution logs and understand how long it takes to send everything. If an execution is lost, it's not so easy to understand why or where it went. I have to manually drill down on the data processes which takes a lot of time. Maybe there could be like a metrics monitor, or maybe the whole log analysis could be improved to make it easier to understand and navigate."
"The solution needs to optimize shuffling between workers."
"It's not easy to install."
"At the initial stage, the product provides no container logs to check the activity."
"The UI was not interactive: Responses used to be very slow and hang up at times."
Earn 20 points
Apache Spark is ranked 1st in Hadoop with 60 reviews while IBM InfoSphere BigInsights [EOL] doesn't meet the minimum requirements to be ranked in Hadoop. Apache Spark is rated 8.4, while IBM InfoSphere BigInsights [EOL] is rated 7.6. The top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". On the other hand, 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". Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas IBM InfoSphere BigInsights [EOL] is most compared with .
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.