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."The main advantage is the storage is less expensive."
"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 scalability of Cloudera Distribution for Hadoop is excellent."
"CDH has a wide variety of proprietary tools that we use, like Impala. So from that perspective, it's quite useful as opposed to something open-source. We get a lot of value from Cloudera's proprietary tools."
"The most valuable feature is Kubernetes."
"We had a data warehouse before all the data. We can process a lot more data structures."
"In terms of scalability, if you have enough hardware you can scale out. Scalability doesn't have any issues."
"It is helpful to gather and process data."
"Easy to operate and use."
"This solution is working for both VTL and tape."
"The most valuable feature is the backup capability."
"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."
"We are satisfied with the technical support, we have no issues."
"Cloudera Distribution for Hadoop is not always completely stable in some cases, which can be a concern for big data solutions."
"Without the big data environment, we cannot store all of this data live. We have billions of records and terabytes of storage to be used. It's not an option actually for us to have a big data environment."
"The tool's ability to be deployed on a cloud model is an area of concern where improvements are required."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"I would like to see an improvement in how the solution helps me to handle the whole cluster."
"The pricing needs to improve."
"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."
"There are better solutions out there that have more features than this one."
"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."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"This solution is no longer managing tapes correctly."
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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, MongoDB and Cassandra, whereas IBM Spectrum Computing is most compared with Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic. See our Cloudera Distribution for Hadoop vs. IBM Spectrum Computing report.
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