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OpenText Enterprise Performance Engineering (LoadRunner Enterprise) vs SmartBear LoadNinja comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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

OpenText Enterprise Perform...
Ranking in Performance Testing Tools
5th
Ranking in Load Testing Tools
5th
Average Rating
8.2
Reviews Sentiment
5.6
Number of Reviews
86
Ranking in other categories
No ranking in other categories
SmartBear LoadNinja
Ranking in Performance Testing Tools
16th
Ranking in Load Testing Tools
14th
Average Rating
7.4
Reviews Sentiment
7.1
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Performance Testing Tools category, the mindshare of OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is 7.3%, up from 5.7% compared to the previous year. The mindshare of SmartBear LoadNinja is 2.1%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Performance Testing Tools Mindshare Distribution
ProductMindshare (%)
OpenText Enterprise Performance Engineering (LoadRunner Enterprise)7.3%
SmartBear LoadNinja2.1%
Other90.6%
Performance Testing Tools
 

Featured Reviews

VK
A VP at a tech vendor with 10,001+ employees
Performance testing has supported web app peak analysis but needs better setup and smarter scripting
Regarding points for improvement for OpenText Enterprise Performance Engineering (LoadRunner Enterprise), I see that features are not being fully developed yet. If OpenText could think about bringing AI features into the tool, it could save maximum time in scripting or make scripting effortless, particularly in correlation, which is where the complexity involved in script development exists. If any AI features could replace or eliminate more manual work on the correlation part, that is where we could see a game-changing improvement for the tool. OpenText Enterprise Performance Engineering (LoadRunner Enterprise) can be positioned very well in the market. However, I see that the basic correlations are only being handled by the autocorrelation engine in the LoadRunner tool, and I would expect a few improvements to handle even complex correlation problems so that the tool can be appropriately positioned compared to their peers.
Kapil Tarka - PeerSpot reviewer
Test Manager at a tech services company with 51-200 employees
Easy to use with good documentation and helpful support
It's a new tool when I compare it with LoadViewer and HP LoadRunner. It needs time to mature. For example, it needs to improve concurrency. When you run a test suite, your scripts will generate some test data. If we are running a banking application and then we are running a full end-to-end suite, there are many actions that need testing. There's a lot of data getting generated. There should be a variable that we can store for later in our later test cases. We need data management and dynamic data generation to be able to capture the data which is generated.

Quotes from Members

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

Pros

"HP has very masterfully re-engineered this tool and integrated it with Application Lifecycle Management to create one of the most seamless project management suites I've used in years."
"Micro Focus LoadRunner Enterprise is easy to use and has flexibility that allows it to be used on a variety of applications."
"It is a very powerful tool."
"We are delivering fine performance results and performance recommendations using Performance Center."
"The initial setup was straightforward. I was able to download everything myself without any IT support."
"Enterprise-level load tests have a great analysis module for results."
"With the help of HP Performance Center and LoadRunner, we were able to critically evaluate the applications performance and stability, and were assured that each application that was released into production was performing better and meeting all SLAs, including transactional response times and system and platform resource utilization."
"LoadRunner Enterprise's most valuable features are load simulation and creating correlation for parameters."
"We are happy with the technical support."
"The most powerful aspect is the ease of use."
"But for now, we are happy with what have been using."
"It's a very simple tool for performance testing."
"SmartBear LoadNinja is easy to use and implement."
 

Cons

"New features have been added in latest version and need to be improved with the DevOps integration."
"I think the integrations could be a little bit more slick. The integration with third-party tools needs to be stepped up a little bit."
"Premium support is great, but before that, when we just had general support, it was not all that great."
"OpenText LoadRunner Enterprise needs to improve reporting."
"It's not that popular on the cloud."
"The price is quite high. It also has expensive licenses, and product support."
"It would be nice if the Citrix protocol could be updated."
"The level of support from HP is average."
"On a smaller scale, there will be no budget issues, but as we expand to a larger user base, I believe we will face some pricing challenges."
"As we ran the test, we couldn't see the real-time results of how the solution behaved for 200 to 400 virtual users."
"It needs time to mature."
"Certainly, the cost could be reduced. It requires attention. Clients have expressed dissatisfaction with the price."
 

Pricing and Cost Advice

"We got a very good deal. We are happy with that. We have 5,000 licenses."
"The price is okay. You're able to buy it, as opposed to paying for a full year."
"We got an 80 percent discount for the product. It was cost-effective, but licenses tend to get expensive."
"The price is a bit too high."
"The price of Micro Focus LoadRunner Enterprise could improve, it is expensive."
"I give the cost a one out of ten."
"For Performance Center, you have to add additional load generators, and then you can do more. I think it is a matter of the price, in terms of how many machines you can buy."
"I have not been directly involved in price negotiations but my understanding is that while the cost is a little bit high, it provides good value for the money."
"Certainly, the cost could be reduced."
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Top Industries

By visitors reading reviews
Outsourcing Company
16%
Financial Services Firm
13%
Construction Company
10%
Healthcare Company
10%
Manufacturing Company
19%
Financial Services Firm
19%
University
11%
Construction Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise9
Large Enterprise75
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Micro Focus LoadRunner Enterprise?
When discussing price, OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is very expensive, which I would represent by a rating of ten. The product carries maximum expense points.
What needs improvement with Micro Focus LoadRunner Enterprise?
Regarding points for improvement for OpenText Enterprise Performance Engineering (LoadRunner Enterprise), I see that features are not being fully developed yet. If OpenText could think about bringi...
What is your primary use case for Micro Focus LoadRunner Enterprise?
My use case for OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is related to enterprise twenty six, which we are going to upgrade now. We focus on web applications.
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Also Known As

Micro Focus LoadRunner Enterprise, Performance Center, HPE Performance Center
SmartBear LoadComplete
 

Overview

 

Sample Customers

Hexaware, British Sky Broadcasting, JetBlue
Falafel Software
Find out what your peers are saying about OpenText Enterprise Performance Engineering (LoadRunner Enterprise) vs. SmartBear LoadNinja and other solutions. Updated: October 2026.
916,771 professionals have used our research since 2012.