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locust VS LoadRunner Cloud

Compare locust VS LoadRunner Cloud and see what are their differences

locust logo locust

An open source load testing tool written in Python.

LoadRunner Cloud logo LoadRunner Cloud

Performance testing software for DevOps teams
  • locust Landing page
    Landing page //
    2021-10-11
  • LoadRunner Cloud Landing page
    Landing page //
    2020-09-25

locust features and specs

  • Scalability
    Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
  • Python-based
    The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
  • Web-based UI
    Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
  • Real-time monitoring
    During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
  • Open-source
    Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.

Possible disadvantages of locust

  • Setup Complexity
    Initial setup can be somewhat complex, especially for large scale or distributed tests. Requires experience with Python and potentially other infrastructure setups.
  • Resource Intensive
    Locust can be resource-intensive, requiring significant compute resources, particularly when simulating large numbers of users.
  • Steeper Learning Curve
    Despite its flexibility, the requirement to write test scenarios in Python may present a learning curve for users not familiar with programming.
  • Limited Protocol Support
    Primarily designed for HTTP/HTTPS protocols, Locust might not be suitable for load testing applications that use other protocols without additional customization.
  • Dependence on External Libraries
    While the use of Python offers flexibility, it also means that you might need to rely on external libraries and tools, which can introduce dependency management issues.

LoadRunner Cloud features and specs

  • Cloud-Based Scalability
    LoadRunner Cloud allows users to generate massive amounts of virtual users from cloud infrastructure without needing to invest in and maintain on-premises hardware, making it easy to scale load tests up or down as needed.
  • Realistic Protocol Support
    LoadRunner Cloud supports a wide range of protocols and technologies, enabling teams to simulate realistic user behavior across web, mobile, API, and enterprise applications for comprehensive performance testing.
  • Reduced Infrastructure Management
    By leveraging cloud infrastructure, teams no longer need to set up and maintain dedicated load generators or testing labs, significantly reducing the operational overhead and costs associated with performance testing.
  • Global Load Generation
    LoadRunner Cloud enables users to generate load from multiple geographic locations around the world, allowing teams to simulate realistic traffic patterns and test application performance from different regions.
  • Integration with CI/CD Pipelines
    LoadRunner Cloud can be integrated into continuous integration and continuous delivery workflows, enabling automated performance testing as part of the software development lifecycle and helping catch performance issues earlier.

Possible disadvantages of LoadRunner Cloud

  • High Cost
    LoadRunner Cloud can be expensive, especially for organizations that need to run frequent or large-scale tests. Licensing and virtual user hour costs can add up quickly, making it less accessible for smaller teams or startups.
  • Steep Learning Curve
    Despite being cloud-based, LoadRunner's scripting and configuration can be complex. Users often need significant training and expertise to create effective test scripts and properly analyze results, which increases onboarding time.
  • Vendor Lock-In
    Being a proprietary Micro Focus (now OpenText) product, organizations may face vendor lock-in with scripts and configurations that are not easily portable to other performance testing tools if they decide to switch.
  • Limited Customization Compared to Open Source
    While LoadRunner Cloud is feature-rich, it may not offer the same level of flexibility and customization that open-source alternatives like JMeter or Gatling provide, particularly for teams with unique or niche testing requirements.
  • Dependency on Internet Connectivity
    Since LoadRunner Cloud is a cloud-based solution, it requires stable and reliable internet connectivity. Network issues or latency between the user and the cloud platform can affect the test management experience and result accuracy.

Analysis of locust

Overall verdict

  • Locust is a powerful and flexible tool for load testing, particularly advantageous for teams familiar with Python. Its scalability and ease of setup make it a strong choice for both small and large projects.

Why this product is good

  • Locust (locust.io) is considered a good tool for load testing due to its easy-to-use, scalable, and distributed nature. Written in Python, it allows developers to write simple or complex test scenarios in the same language. It enables the simulation of millions of users by distributing tasks across multiple machines, making it highly valuable for performance testing of websites and applications. The web-based user interface is another advantage, allowing real-time monitoring of test progress and results.

Recommended for

  • Development teams looking for a scalable load testing tool.
  • Organizations that prefer open-source solutions.
  • Projects requiring custom test scenarios in Python.
  • Teams needing real-time monitoring and distributed testing capabilities.

Analysis of LoadRunner Cloud

Overall verdict

  • LoadRunner Cloud is a solid, enterprise-grade performance testing solution well-suited for organizations needing robust load testing capabilities without heavy infrastructure investment, though its complexity and cost may be excessive for smaller teams or simple use cases.

Why this product is good

  • Backed by Micro Focus/OpenText, a long-established leader in performance testing with decades of expertise
  • Cloud-based architecture eliminates need for on-premise infrastructure and simplifies test execution at scale
  • Supports a wide range of protocols (web, mobile, API, etc.) making it versatile for complex enterprise applications
  • Integrates well with CI/CD pipelines and DevOps toolchains for continuous performance testing
  • Provides detailed analytics, reporting, and real-time monitoring dashboards for actionable insights
  • Global load generation capabilities allow realistic geographic distribution of virtual users
  • Strong scalability to simulate thousands of concurrent users for enterprise-level stress testing

Recommended for

  • Enterprise organizations with complex, multi-protocol applications requiring rigorous performance validation
  • Teams already invested in the Micro Focus/OpenText testing ecosystem
  • DevOps teams looking to integrate performance testing into CI/CD pipelines
  • QA and performance engineering teams needing scalable, cloud-based load generation
  • Organizations requiring detailed compliance and audit-ready performance reports
  • Companies with distributed user bases needing geographically diverse load simulation

locust videos

Locust review - GTA Online guides

More videos:

  • Review - GTA Online: Ocelot Locust Review
  • Review - GTA 5 - DLC Vehicle Customization - Ocelot Locust and Review

LoadRunner Cloud videos

No LoadRunner Cloud videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to locust and LoadRunner Cloud)
Monitoring Tools
95 95%
5% 5
Test Automation
0 0%
100% 100
Website Testing
90 90%
10% 10
Analytics
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, locust seems to be more popular. It has been mentiond 65 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

locust mentions (65)

  • 15 Common Kubernetes Pitfalls & Challenges
    Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems earlier, ensuring your Pods will scale seamlessly when real traffic arrives. - Source: dev.to / 9 months ago
  • Small-Scale Chaos Testing: The Missing Step Before Production
    Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 10 months ago
  • Log Spikes? Noย Sweat: How Top DevOps Teams Tame Bursty Workloads
    But you donโ€™t have to operate at Netflixโ€™s scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and alerting respond to the increased load. Tools like Grafanaโ€™s k6 and Locust can simulate thousands of requests per second, while synthetic log generators mimic bursty error scenarios. - Source: dev.to / about 1 year ago
  • Serving 200M requests per day with a CGI-bin
    I mean honestly - the "classic" Apache model of throwing things into the www root is very strong for rapid development. Hot code reloading is sometimes finicky, you can end up with unexpected hidden state and lose sanity over a stupid heisenbug. Trust me. IMO you don't need to compensate for bad configs if you're using a proper staging environment and push-button deployments (which is good practice regardless of... - Source: Hacker News / about 1 year ago
  • 3 Types of Chaos Experiments and How To Run Them
    Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / over 1 year ago
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LoadRunner Cloud mentions (0)

We have not tracked any mentions of LoadRunner Cloud yet. Tracking of LoadRunner Cloud recommendations started around Mar 2021.

What are some alternatives?

When comparing locust and LoadRunner Cloud, you can also consider the following products

Apache JMeter - Apache JMeterโ„ข.

OctoPerf - OctoPerf is an enterprise-grade load testing platform, available as SaaS & on-premise, helping IT teams validate scalability at lower cost.

Loader.io - Loader.io is a simple cloud-based load testing service

Blazemeter - BlazeMeter is a self- service performance load testing cloud tool

AT Internet - Transform your data into action with our powerful and flexible digital analytics solution.

Tricentis NeoLoad - Tricentis NeoLoad is an Enterprise Performance Load Testing platform that provides hardware-based performance simulations and can simulate web services, databases, file servers, and virtualized environments.