We performed a comparison between Amazon EMR and IBM Spectrum Computing based on real PeerSpot user reviews.
Find out in this report how the two Hadoop solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."This is the best tool for hosts and it's really flexible and scalable."
"The initial setup is pretty straightforward."
"In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"The solution is pretty simple to set up."
"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."
"It allows users to access the data through a web interface."
"The initial setup is straightforward."
"Easy to operate and use."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"This solution is working for both VTL and tape."
"The most valuable feature is the backup capability."
"We are satisfied with the technical support, we have no issues."
"Modules and strategies should be better handled and notified early in advance."
"There is room for improvement in pricing."
"The problem for us is it starts very slow."
"Amazon EMR can improve by adding some features, such as megastore services and HiveServer2. Additionally, the user interface could be better, similar to what Apache service provides, cross-platform services."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The initial setup was time-consuming."
"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"This solution is no longer managing tapes correctly."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"We have not been able to use deduplication."
"Lack of sufficient documentation, particularly in Spanish."
"We'd like to see some AI model training for machine learning."
Amazon EMR is ranked 3rd in Hadoop with 20 reviews while IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews. Amazon EMR is rated 7.8, while IBM Spectrum Computing is rated 7.8. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, the top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas IBM Spectrum Computing is most compared with Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic. See our Amazon EMR vs. IBM Spectrum Computing report.
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