IBM Spectrum Computing Reviews

Vendor: IBM

4.1 out of 5

8 reviews
57% willing to recommend

1,144 followers

What is IBM Spectrum Computing?

IBM Spectrum Computing uses intelligent workload and policy-driven resource management to optimize resources across the data center, on premises and in the cloud. Now up to 150X faster and scalable to over 160,000 cores, IBM provides you with the latest advances in software-defined infrastructure to help you unleash the power of your distributed mission-critical high performance computing (HPC), analytics and big data applications as well as a new generation open source frameworks such as Hadoop and Spark.

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IBM Spectrum Computing is the #7 ranked solution in top Hadoop solutions and #23 ranked solution in top Cloud Management solutions. PeerSpot users give IBM Spectrum Computing an average rating of 8.2 out of 10. IBM Spectrum Computing is most commonly compared to Apache Spark: IBM Spectrum Computing vs Apache Spark. IBM Spectrum Computing is popular among the large enterprise segment, accounting for 76% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 40% of all views.

Buyer's Guide

Hadoop

October 2024

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Featured reviews

Avra Jyoti Ghosh

Data QualityTechnical Architect at Mindtree

I mainly used Spectrum Computing for data management, governance, quality, and ETL activity Spectrum Computing's best features are its speed, robustness, and data processing and analysis. Spectrum Computing is lagging behind other products, most likely because it hasn't been shifted to the…

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reviewer2145051

Solutions Architect at a tech services company with 1,001-5,000 employees

IBM's sales and support structure can be challenging. To work on an IBM deal, you often need to involve multiple specialists, each knowledgeable about only part of the product, rather than having a single point of contact. This fragmentation complicates the sales process, especially for software and server solutions with numerous SKUs. Customers are frequently overwhelmed by the complexity of quotes and the large number of SKUs, which can detract from the perceived value. IBM's hardware, particularly servers, tends to be complex and expensive. It often becomes unsupported within three to five years, leading to issues with obtaining replacement parts or compatible components. This lack of downward compatibility can frustrate customers, who may feel pressured to make additional purchases to stay current. As a result, some customers might consider switching to other options, especially if they encounter difficulties with support or compatibility. IBM also works on new initiatives like PowerBS for virtual systems and cloud integration. While this may address some of the existing challenges, IBM still has room for improvement in simplifying its offerings and support.

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Mohamed Youssef

Sr. Pre-Sales Engineer at Advanced Technology Company

The primary use case of this solution is to backup everything in our data center. This includes VMware environments, Microsoft Hyper-V, Unix machines including HP UNIX, and AIX, as well as normal machines for Windows. The deployment model we used was on-premises The most valuable feature is the…

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IBM Spectrum Computing mindshare

As of November 2024, the mindshare of IBM Spectrum Computing in the Hadoop category stands at 2.0%, down from 2.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Hadoop

Key learnings from peers

Last updated Aug 27, 2024

Valuable Features

"IBM's ability to cluster compute resources is impressive, with built-in support for scenarios like VR and active-active configurations,"
"The comparison was challenging, but the IBM Spectrum Scale offered a balanced solution. Our engineers rated itsanalytics capabilities equally high as Pure Storage. For workload management, Spectrum Computing provided effective solutions that met our needs. Workload management is part of a complete solution that uses different tools. There were the cloud and HPC parts; within HPC, there were parts like liquid cooling, simple computing, storage, and orchestration. The orchestration team handled the workload management."
"Easy to operate and use."