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."The solution is scalable."
"It allows users to access the data through a web interface."
"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."
"One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR."
"This is the best tool for hosts and it's really flexible and scalable."
"When we grade big jobs from on-prem to the cloud, we do it in EMR with Spark."
"The project management is very streamlined."
"Amazon EMR's most valuable features are processing speed and data storage capacity."
"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."
"Easy to operate and use."
"We are satisfied with the technical support, we have no issues."
"The most valuable feature is the backup capability."
"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."
"The legacy versions of the solution are not supported in the new versions."
"The product must add some of the latest technologies to provide more flexibility to the users."
"The most complicated thing is configuring to the cluster and ensure it's running correctly."
"There is no need to pay extra for third-party software."
"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."
"Modules and strategies should be better handled and notified early in advance."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"We have not been able to use deduplication."
"We'd like to see some AI model training for machine learning."
"Lack of sufficient documentation, particularly in Spanish."
"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."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
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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