We performed a comparison between Hortonworks Data Platform 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."Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"The scalability is the key reason why we are on this platform."
"The data platform is pretty neat. The workflow is also really good."
"The Hortonworks solution is so stable. It is working as a production system, without any error, without any downtime. If I have downtime, it is mostly caused by the hardware of the computers."
"It is a scalable platform."
"Now, using this solution, it is much cheaper to have all of the data available for searching, not in real-time, but whenever there is a pending request."
"Hortonworks should not be expensive at all to those looking into using it."
"Ambari Web UI: user-friendly."
"Easy to operate and use."
"We are satisfied with the technical support, we have no issues."
"This solution is working for both VTL and tape."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"The most valuable feature is the backup capability."
"It would also be nice if there were less coding involved."
"Since Cloudera acquired HDP, it's been bundled with CBH and HDP. However, the biggest challenge is cloud storage integration with Azure, GCP, and AWS."
"More information could be there to simplify the process of running the product."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"Deleting any service requires a lot of clean up, unlike Cloudera."
"The cost of the solution is high and there is room for improvement."
"It's at end of life and no longer will there be improvements."
"I would like to see more support for containers such as Docker and OpenShift."
"Lack of sufficient documentation, particularly in Spanish."
"We'd like to see some AI model training for machine learning."
"We have not been able to use deduplication."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"This solution is no longer managing tapes correctly."
Hortonworks Data Platform is ranked 6th in Hadoop with 25 reviews while IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews. Hortonworks Data Platform is rated 8.0, while IBM Spectrum Computing is rated 7.8. The top reviewer of Hortonworks Data Platform writes "Good for secure containerization, and governance capabilities ". On the other hand, the top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". Hortonworks Data Platform is most compared with Amazon EMR, Apache Spark, Cloudera DataFlow and HPE Ezmeral Data Fabric, whereas IBM Spectrum Computing is most compared with Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic. See our Hortonworks Data Platform vs. IBM Spectrum Computing report.
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.
