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 features I find most valuable is that the solution is that it is easy to install and to work with. It starts with the installation and from there on the management is very simple and centralized."
"The product is completely secure."
"The tool can be deployed using different container technologies, which makes it very scalable."
"The most valuable feature is Impala, the querying engine, which is very fast."
"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 feature is that I can use CDH for almost all use cases across all industries, including the financial sector, public sector, private retailers, and so on."
"We had a data warehouse before all the data. We can process a lot more data structures."
"The solution's most valuable feature is the enterprise data platform."
"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."
"The most valuable feature is the backup capability."
"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."
"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 governance aspect of the solution should be improved."
"The initial setup of Cloudera is difficult."
"The areas of improvement depend on the scale of the project. For banking customers, security features and an essential budget for commercial licenses would be the top priority. Data regulation could be the most crucial for a project with extensive data or an extra use case."
"Currently, we are using many other tools such as Spark and Blade Job to improve the performance."
"The dashboard could be improved."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"There are better solutions out there that have more features than this one."
"This solution is no longer managing tapes correctly."
"We'd like to see some AI model training for machine learning."
"Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the cloud."
"Lack of sufficient documentation, particularly in Spanish."
"We have not been able to use deduplication."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
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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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