IBM equipment is designed with an embedded microcode that restricts the use of third-party components. For example, purchasing an 18-terabyte drive from a vendor like CDW won't work in IBM systems because the microcode validation prevents its use unless it comes directly from IBM. This limitation means you can't easily buy refurbished or third-party parts for IBM gear; they must be sourced from IBM itself. This can be a significant issue for those using non-IBM components with their systems. Since I sell IBM Spectrum Computing, I always recommend it for high-end users with substantial budgets and demanding applications. For such users, IBM offers top-tier solutions. However, for smaller data centers, IBM might not be the most suitable choice. While IBM storage solutions are excellent, providing strong resilience and advanced ransomware protection at competitive prices. Overall, I rate the solution a ten out of ten.
Spectrum Computing is one of the best tools in the data management and services area. It can process huge amounts of data with standardized data management and provides a great data governance capability. I would give Spectrum Computing a rating of nine out of ten.
Sales Manager at a tech services company with 51-200 employees
Reseller
Top 5
2022-01-05T21:15:38Z
Jan 5, 2022
We are IBM partners. We are a platinum partner. I'd advise potential users to go for it. We are constantly growing in the AI model training and inference market. It will be great if some customers go down that road and start to implement that solution in their infrastructure. I'd rate the solution at a nine out of ten.
Sr. Pre-Sales Engineer at Advanced Technology Company
Real User
2019-09-27T04:38:00Z
Sep 27, 2019
We are partners with IBM, and we renew our partnership yearly. I tell everyone that they should go with IBM Spectrum Computing. The cost is high but I like this solution. I would rate this solution a ten out of ten.
IT Manager, Deputy Chairman of the Board at a financial services firm with 5,001-10,000 employees
Real User
2019-09-26T04:12:00Z
Sep 26, 2019
We use the on-premises deployment model. My main advice to others considering implementing the solution is to use this product directly with IBM equipment like virtual tape libraries and IBM tapes. When we use this product together with hardware from other vendors, there are many, many issues. I would rate the solution five out of ten.
For now, I am pleased with this solution. I have been using this solution for twelve years and I know how it works. At this time I don't have any suggestions for additional features to be added, except for the bad managing of tapes. I would rate this solution a six out of ten.
Hadoop architectures refer to the various design patterns and configurations used to implement Hadoop, an open-source framework for distributed storage and processing of large datasets.
IBM equipment is designed with an embedded microcode that restricts the use of third-party components. For example, purchasing an 18-terabyte drive from a vendor like CDW won't work in IBM systems because the microcode validation prevents its use unless it comes directly from IBM. This limitation means you can't easily buy refurbished or third-party parts for IBM gear; they must be sourced from IBM itself. This can be a significant issue for those using non-IBM components with their systems. Since I sell IBM Spectrum Computing, I always recommend it for high-end users with substantial budgets and demanding applications. For such users, IBM offers top-tier solutions. However, for smaller data centers, IBM might not be the most suitable choice. While IBM storage solutions are excellent, providing strong resilience and advanced ransomware protection at competitive prices. Overall, I rate the solution a ten out of ten.
Despite this, integrating AI and ML features with IBM Spectrum Computing has succeeded. Overall, I would rate IBM Spectrum Computing an eight.
I rate this solution eight out of 10.
Spectrum Computing is one of the best tools in the data management and services area. It can process huge amounts of data with standardized data management and provides a great data governance capability. I would give Spectrum Computing a rating of nine out of ten.
We are IBM partners. We are a platinum partner. I'd advise potential users to go for it. We are constantly growing in the AI model training and inference market. It will be great if some customers go down that road and start to implement that solution in their infrastructure. I'd rate the solution at a nine out of ten.
I would rate this solution a six out of ten.
We are partners with IBM, and we renew our partnership yearly. I tell everyone that they should go with IBM Spectrum Computing. The cost is high but I like this solution. I would rate this solution a ten out of ten.
We use the on-premises deployment model. My main advice to others considering implementing the solution is to use this product directly with IBM equipment like virtual tape libraries and IBM tapes. When we use this product together with hardware from other vendors, there are many, many issues. I would rate the solution five out of ten.
For now, I am pleased with this solution. I have been using this solution for twelve years and I know how it works. At this time I don't have any suggestions for additional features to be added, except for the bad managing of tapes. I would rate this solution a six out of ten.