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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 Nov 8, 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
8.4
Reviews Sentiment
5.5
Number of Reviews
87
Ranking in other categories
No ranking in other categories
SmartBear LoadNinja
Ranking in Performance Testing Tools
16th
Ranking in Load Testing Tools
15th
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 November 2026, in the Performance Testing Tools category, the mindshare of OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is 7.6%, up from 5.9% compared to the previous year. The mindshare of SmartBear LoadNinja is 2.0%, 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)7.6%
SmartBear LoadNinja2.0%
Other90.4%
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

"Creating the script is very easy and user friendly."
"LoadRunner's UI is project-convenient, allowing easier simulation of real-time scenarios and producing comprehensive reports that are effortless to read."
"Looking at the load of more of the applications and the testing needs have definitely been met."
"LoadRunner Enterprise's best feature is the detailed reporting structure."
"With the latest updates, it is very comprehensive and one of the best products of the sort."
"The product is very user-friendly."
"It has contributed greatly to the performance/stress testing of our application prior to going live and deployment."
"I also like that Micro Focus LoadRunner Enterprise is the only tool you can utilize for all your needs, even for different protocols and scripting."
"It's a very simple tool for performance testing."
"But for now, we are happy with what have been using."
"We are happy with the technical support."
"SmartBear LoadNinja is easy to use and implement."
"The most powerful aspect is the ease of use."
 

Cons

"It is tough to maintain from the infrastructure side."
"Offering a direct integration feature would ensure a completely smooth experience."
"The product's scalability must be improved."
"The cost of the solution is high and can be improved."
"I think some enhanced support, be it online or documentation, would be appreciated."
"The solution is expensive."
"The price is quite high. It also has expensive licenses, and product support."
"It would be good if we could look forward at the future technology needs we have. I would like to see Micro Focus provide more customer awareness around how LoadRunner can fulfill requirements with Big Data use cases, for example, where you do performance testing at the scale of data lakes... when it comes to technologies our company has yet to adopt, I would like to see an indication from Micro Focus of how one does performance testing and what kinds of challenges can we foresee. Those kinds of studies would really help us."
"As we ran the test, we couldn't see the real-time results of how the solution behaved for 200 to 400 virtual users."
"Certainly, the cost could be reduced. It requires attention. Clients have expressed dissatisfaction with the price."
"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."
"It needs time to mature."
 

Pricing and Cost Advice

"The prices would differ depending on the number of licenses you need. I wouldn't maybe compare it to any other tools. I rate the price as seven out of ten."
"ROI is 200%."
"There is an ROI. What LoadRunner does, is it prevents failures when there are many, many concurrent users in the systems of a company."
"The price of Micro Focus LoadRunner Enterprise could improve, it is expensive."
"We purchased the license via SAP."
"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."
"I give the cost a one out of ten."
"It is a bit expensive when compared with other tools."
"Certainly, the cost could be reduced."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Financial Services Firm
13%
Manufacturing Company
9%
Construction Company
9%
Manufacturing Company
19%
Financial Services Firm
19%
University
12%
Construction Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise9
Large Enterprise76
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.
Ask a question
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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.
921,665 professionals have used our research since 2012.