We performed a comparison between Cloudera Distribution for Hadoop, Hortonworks Data Platform, and IBM Spectrum Computing based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
"I don't see any performance issues."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"The most valuable feature is Kubernetes."
"Very good end-to-end security features."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"The data science aspect of the solution is valuable."
"The file system is a valuable feature."
"The solution is reliable and stable, it fits our requirements."
"Distributed computing, secure containerization, and governance capabilities are the most valuable features."
"It is a scalable platform."
"Hortonworks should not be expensive at all to those looking into using it."
"The data platform is pretty neat. The workflow is also really good."
"The scalability is the key reason why we are on this platform."
"We use it for data science activities."
"The upgrades and patches must come from Hortonworks."
"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."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"Easy to operate and use."
"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."
"The most valuable feature is the backup capability."
"This solution is working for both VTL and tape."
"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."
"The user infrastructure and user interface needs to be improved, as well as the performance. The GUI needs to be better."
"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 procedure for operations could be simplified."
"The competitors provide better functionalities."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"The solution is not fit for on-premise distributions."
"There are better solutions out there that have more features than this one."
"I would like to see more support for containers such as Docker and OpenShift."
"The version control of the software is also an issue."
"It would also be nice if there were less coding involved."
"The cost of the solution is high and there is room for improvement."
"More information could be there to simplify the process of running the product."
"Hive performance. If Hive performance increased, Hadoop would replace (not everywhere) traditional databases."
"I work a lot with banking, IT and communications customers. Hortonworks must improve or must upgrade their services for these sectors."
"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."
"SMB storage and HPC is not compatible and it should be supported by IBM Spectrum Computing."
"We'd like to see some AI model training for machine learning."
"Lack of sufficient documentation, particularly in Spanish."
"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."
"We have not been able to use deduplication."
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