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HCL Workload Automation vs StackStorm comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

HCL Workload Automation
Ranking in Workload Automation
21st
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
StackStorm
Ranking in Workload Automation
36th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Workload Automation category, the mindshare of HCL Workload Automation is 2.2%, up from 2.1% compared to the previous year. The mindshare of StackStorm is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Workload Automation Market Share Distribution
ProductMarket Share (%)
HCL Workload Automation2.2%
StackStorm0.2%
Other97.6%
Workload Automation
 

Featured Reviews

reviewer1418508 - PeerSpot reviewer
Easy to set up, good support, and helps to decrease project costs
With the mainframe environment that we have, it is more similar to the HCL migration, or the workload scheduler. We also like the CWHC utilities; they are more current and under the umbrella of HCL. It reduces project risks. Easy to set up, it doesn't require a lot. You can start working immediately. Migration is increased while it decreases the cost of the project.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Insurance Company
10%
Manufacturing Company
10%
Computer Software Company
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Overview

 

Sample Customers

Information Not Available
Cisco, Netflix, NASA, Cybera
Find out what your peers are saying about BMC, Broadcom, JAMS Software and others in Workload Automation. Updated: September 2025.
867,349 professionals have used our research since 2012.