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OpenText Core Performance Engineering (LoadRunner Cloud) vs k6 Open Source comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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

k6 Open Source
Ranking in Load Testing Tools
10th
Average Rating
7.6
Reviews Sentiment
7.9
Number of Reviews
2
Ranking in other categories
Regression Testing Tools (22nd)
OpenText Core Performance E...
Ranking in Load Testing Tools
4th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
47
Ranking in other categories
Performance Testing Tools (4th)
 

Mindshare comparison

As of August 2026, in the Load Testing Tools category, the mindshare of k6 Open Source is 3.9%, up from 3.8% compared to the previous year. The mindshare of OpenText Core Performance Engineering (LoadRunner Cloud) is 7.7%, down from 10.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Load Testing Tools Mindshare Distribution
ProductMindshare (%)
OpenText Core Performance Engineering (LoadRunner Cloud)7.7%
k6 Open Source3.9%
Other88.4%
Load Testing Tools
 

Featured Reviews

NalinGoonawardana - PeerSpot reviewer
Principal Consultant ( Test automation - Performance testing) at TTC Global (TTC) at TTC at a tech services company with 51-200 employees
Offers good scalability and has the ability to integrate with various systems and services
One area where k6 could improve is by introducing a GUI similar to JMeter. While k6 is a powerful tool for performance testing, it leans heavily towards coding. Having a GUI, even if it is a low-code approach, could make it more accessible to a broader audience. It would be beneficial to strike a balance where basic tasks can be performed graphically through a user-friendly interface, while still allowing the flexibility for more complex operations through code, similar to how JMeter operates. This could enhance the user experience and make k6 more approachable for those who may not be as comfortable with scripting.
Mahendra Andhale - PeerSpot reviewer
Test Manager at Happiest Minds Technologies
Centralized cloud testing has improved global load generation and real-time performance insights
The most valuable features I have found in OpenText Core Performance Engineering (LoadRunner Cloud) are that everything is online and centralized, so I do not need to go anywhere to check the configuration and everything. OpenText Core Performance Engineering (LoadRunner Cloud)'s advanced analytics help identify performance bottlenecks because whenever we are executing the test scripts, it shows a good analytics view where we can simply check which APIs are not performing well. The cloud-based load generators in OpenText Core Performance Engineering (LoadRunner Cloud) have benefited my testing setup because we can generate the load across the globe, which was previously a little bit difficult on the on-premises version. The user interface in OpenText Core Performance Engineering (LoadRunner Cloud) is intuitive and this will be easy to communicate and collaborate amongst the team also because sharing the online URL with the team, they can simply check the analysis and everything.

Quotes from Members

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

Pros

"The standout feature of k6 is its strong focus on API performance testing."
"The tool's big advantage is that it is more performance-test oriented for experienced testers who know what they are doing. In a normal working setup, performance engineers frequently work with DevOps and development teams. For these teams, k6 Open Source's syntax is much simpler and easier to understand and apply in the working process."
"One of LoadRunner's standout features is its extensive support for various TechStacks and protocols."
"The solution can scale."
"Even though the cost is expensive, there are good features when compared to all other tools."
"I would rate OpenText LoadRunner Cloud a ten out of ten for scalability."
"The usability and ability to integrate with other solutions is quite good. When I use it in on Azure, then Red Hat is the most likely solution I use. When I use AWS, then I tend to use Lambda functions. In either case, it works well and you can use it either way."
"Keeping up with DevOps, thus the best feature of StormRunner is that we don't have to build and maintain infrastructure anymore."
"The most useful features of OpenText LoadRunner Cloud include getting load through the Performance Center, which is part of the cloud version, where we can monitor CPU and memory utilization, and response times."
"The initial setup was straightforward."
 

Cons

"One area where k6 could improve is by introducing a GUI similar to JMeter."
"Reporting and analysis need improvement. Compared to the old school LoadRunner Windows application, the reporting and analysis are mediocre in LoadRunner Cloud."
"I'm not a big fan of the tech support to be frank. SaaS tech support (HPE tech support or Micro Focus), there's a gap between the people who access our tickets and the people who know the product."
"During the initial days of high concurrency testing (300,000 and 600,000) we had issues with the StormRunner infrastructure e.g. graphs disappeared in the middle of a test, and HP had to give an online fix."
"We encounter hurdles while running the professional version for on-premise setup."
"It doesn't provide custom reports. You can only use the default reports which contain irrelevant data or is missing data that we need."
"I don't know of any features that should be added. The solution isn't lacking anything at this point."
"Improvements to the reporting would be good."
"I faced issues with OpenText LoadRunner Cloud support when a problem took three to four months to resolve, which negatively impacted our project, especially when key team members were unavailable during leave periods."
 

Pricing and Cost Advice

Information not available
"The solution is expensive."
"It is expensive compared to other tools."
"The pricing for OpenText LoadRunner Cloud is average."
"The pricing is very reasonable and the licensing is straightforward."
"The solution’s price is considerably high."
"There is no monthly or yearly cost but rather, the fees are based on the amount of traffic that you use."
"It's a very expensive solution"
"We make use of virtual user hours. We buy time in the LoadRunner Cloud. It costs around $80,000."
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
12%
Construction Company
9%
Retailer
8%
Construction Company
11%
Financial Services Firm
11%
Outsourcing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise9
Large Enterprise30
 

Questions from the Community

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Do you recommend Micro Focus LoadRunner Cloud?
I absolutely recommend Micro Focus LoadRunner Cloud. In fact, I consider it to be one of the best performance testing tools. I like it because it provides many benefits. Some of the ones I find to...
What is your experience regarding pricing and costs for Micro Focus LoadRunner Cloud?
My experience with pricing, setup cost, and licensing shows it is very high and very costly.
What needs improvement with Micro Focus LoadRunner Cloud?
OpenText Core Performance Engineering (LoadRunner Cloud) can be improved by incorporating code improvements. I would add that it reduces the initial setup complexity, improves the learning curve op...
 

Also Known As

Load Impact
Micro Focus LoadRunner Cloud, StormRunner Load, LoadRunner Cloud, and Micro Focus StormRunner Load
 

Overview

 

Sample Customers

rackspace, salesforce.com, IBM, servicenow, Nasdaq, JWT
Alfa Bank, N Brown Group, University of Copenhagen, McGraw-Hill, Cognizant
Find out what your peers are saying about OpenText Core Performance Engineering (LoadRunner Cloud) vs. k6 Open Source and other solutions. Updated: June 2026.
908,800 professionals have used our research since 2012.