We performed a comparison between Cloudify and IBM Spectrum Computing based on real PeerSpot user reviews.
Find out in this report how the two Cloud Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Product has given us the ability to catch early scaling issues that many companies hit on with private clouds."
"Extensible internal functions and plugins. Can implement custom plugins to fit your scenario. Python based plugins."
"You can use only what you need. You can remove certain Cloudify functions from the framework to create a "minified" version of what you need. This might only consist of the messaging delivery system, and the orchestration functions."
"Cloudify works in cases where you have very advanced service chaining requirements. It really works well there, and it fits the best. They have a standardized markup that's based on TOSCA, which is a standard. I like the fact that they're standards-based. Their solution works extremely well if you have the talent and the manpower to write TOSCA descriptors to deploy and interchange services or to automate the configuration and turn up of services."
"Has great extendability which means you can build your own custom logic."
"The solution includes the option to run background scripts and processes from a connected API."
"Valuable features are auto-scaling and load balancing."
"TOSCA model allows modeling the application rather than the automation. It is a machine-readable representation of the application and its infrastructure, which can be used for other things too, not just for the orchestration (e.g. enterprise architecture big picture, who connects to whom)."
"Easy to operate and use."
"The most valuable feature is the backup capability."
"This solution is working for both VTL and tape."
"We are satisfied with the technical support, we have no issues."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The upgrading process could be simplified."
"It lacked the user interface for multitenancy and basic platform management tasks. It is a leader in the niche area that they like to perform in, but it only does about 30% of top-tier advanced functions of platform management. It doesn't meet about 70% of what you need to manage a private cloud platform."
"Certainly the UI could use some intensive work, but nevertheless, overall, it’s a complete product with its 3.4 version and much better features are available with 4.0."
"Error handling could be improved; GUI is lacking with respect to user privileges and connectivity."
"Unlike the Docker environment, Cloudify takes time for configuration and its learning curve."
"Install of the product itself could be improved and I would like to see better event monitoring."
"The solution is a bit of a headache because mistakes happen in the blueprint every time we deploy and they require modifications."
"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."
"This solution is no longer managing tapes correctly."
"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."
Cloudify is ranked 20th in Cloud Management with 12 reviews while IBM Spectrum Computing is ranked 10th in Cloud Management with 6 reviews. Cloudify is rated 8.0, while IBM Spectrum Computing is rated 7.8. The top reviewer of Cloudify writes "Works very well for advanced service chaining requirements and has extremely advanced engineers for support". On the other hand, the top reviewer of IBM Spectrum Computing writes "Provides stable backup for our databases and has good technical support ". Cloudify is most compared with Morpheus, VMware Aria Automation, CloudStack, OpenNebula and Scalr, whereas IBM Spectrum Computing is most compared with Apache Spark, HPE Ezmeral Data Fabric and IBM Turbonomic. See our Cloudify vs. IBM Spectrum Computing report.
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We monitor all Cloud Management 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.
