We performed a comparison between Cloudera Distribution for Hadoop 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."With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"We had a data warehouse before all the data. We can process a lot more data structures."
"The product is completely secure."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"The tool can be deployed using different container technologies, which makes it very scalable."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve. I believe they are working on that."
"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."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"We are satisfied with the technical support, we have no issues."
"Easy to operate and use."
"This solution is working for both VTL and tape."
"There are multiple bugs when we update."
"The solution does not support multiple languages very well and this means users need to create work-arounds to implement some solutions."
"The procedure for operations could be simplified."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"The competitors provide better functionalities."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"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."
"This solution is no longer managing tapes correctly."
"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."
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Cloudera Distribution for Hadoop is ranked 2nd in Hadoop with 47 reviews while IBM Spectrum Computing is ranked 7th in Hadoop with 6 reviews. Cloudera Distribution for Hadoop is rated 8.0, while IBM Spectrum Computing is rated 7.8. The top reviewer of Cloudera Distribution for Hadoop writes "Good end-to-end security features and we like that it's cloud independent". On the other hand, the top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". Cloudera Distribution for Hadoop is most compared with Amazon EMR, HPE Ezmeral Data Fabric, Apache Spark, Cassandra and ScyllaDB, whereas IBM Spectrum Computing is most compared with Apache Spark and HPE Ezmeral Data Fabric. See our Cloudera Distribution for Hadoop vs. IBM Spectrum Computing report.
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