IBM Spectrum Computing Reviews

Name: IBM Spectrum Computing
Brand: IBM
Rating: 4 (6 reviews)

Vendor: IBM

3.9 out of 5

6 reviews
40% willing to recommend

1,142 followers

What is IBM Spectrum Computing?UNIXBusinessApplication
Price:

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.

Get the Hadoop Buyer's Guide and find out what your peers are saying about IBM Spectrum Computing, Apache Spark, VMware Aria Operations and more!

IBM Spectrum Computing is the #7 ranked solution in top Hadoop solutions and #10 ranked solution in top Cloud Management solutions. PeerSpot users give IBM Spectrum Computing an average rating of 7.8 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 68% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a comms service provider, accounting for 31% of all views.

Buyer's Guide

Hadoop

May 2024

Get the category report

Helped 772,649 peers since 2012

Featured reviews

Avra Jyoti Ghosh

Data QualityTechnical Architect at Mindtree

Aug 25, 2022

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…

Read full review

Mohamed Youssef

Sr. Pre-Sales Engineer at Advanced Technology Company

Sep 27, 2019

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…

Read full review

reviewer1755426

Sales Manager at a tech services company with 51-200 employees

May 22, 2023

The primary use case is for PowerVAC. The use case is mainly for ETL activity. I'm working in the commercial department of the company. We have a partnership with IBM. Most of our customers like the ECUs and how easy it is to operate and use. There is a basic level of confidence when it comes to…

Read full review

IBM Spectrum Computing market share

Product category:

As of June 2024, the market share of IBM Spectrum Computing in the Hadoop category stands at 2.6%, up from 1.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Hadoop

Key learnings from peers

Valuable Features

"Easy to operate and use."
"Spectrum Computing's best features are its speed, robustness, and data processing and analysis."
"The most valuable aspect of the product is the policy driving resource management, to optimize the computing across data centers."

Room for Improvement

"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."
"We'd like to see some AI model training for machine learning."