Over a decade ago, BlazeMeter reshaped the landscape of load testing by moving it to the cloud. Serving as a cloud-based execution platform for the well-known JMeter, it freed engineers from the burden of managing infrastructure and allowed them to focus solely on testing. The result was a significant reduction in operational complexity and a surge in testing scalability. Since then, many other best online load testing tools have followed suit, offering cloud-based testing.
In this article, we’ll explore some of the top BlazeMeter alternatives, each offering unique features and advantages. Selecting the right tool can be challenging, but we’ll guide you through the key choices to help you.
PFLB
Nowadays, a new major shift is taking place where cloud-based load testing meets AI, and that’s where PFLB comes in.
PFLB, a cloud-based load testing tool, pioneers AI-powered performance insights for bottleneck detection, integrates AI further into the load testing process and simplifies the work of performance engineers.
PFLB has a proven track record in delivering top-notch performance testing solutions for diverse industries, including e-commerce, finance, e-learning, and more.
Key Features
OctoPerf
OctoPerf’s USP is its user-friendly, cloud-based performance testing with real-time analytics and distributed load testing. It supports scriptless test creation, integrates with CI/CD pipelines, and offers advanced reporting for efficient, scalable testing.
Key Features
LoadRunner Cloud
LoadRunner Cloud facilitates a scalable, cloud-based performance testing for enterprise applications. It supports massive user loads from multiple regions, integrates with CI/CD pipelines, and offers real-time analytics through an intuitive interface. Its broad protocol support ensures versatility for complex testing needs. Read more about Blazemeter vs LoadRunner vs PFLB.
Key Features
Loadium
Loadium is a versatile cloud-based performance testing tool designed to help teams efficiently simulate high user traffic and identify application bottlenecks. Built on Apache JMeter, it provides an accessible and scalable solution for developers and testers.
Key Features
Gatling Cloud
Gatling Cloud is a cloud-based performance testing solution that extends Gatling’s capabilities for scalable, distributed load testing. It offers real-time monitoring, automated reporting, and detailed insights to help optimize application performance. With CI pipeline integration, it supports seamless automation and scaling, making it a convenient choice for cloud-native load testing.
Key Features
Locust.Cloud
A cloud-based version of Locust. Among all the BlazeMeter competitors, this tool is lightweight, scalable load testing framework built for developers. Written in Python, it allows users to create custom test scenarios with simple and flexible code. Locust.Cloud supports distributed testing, enabling the simulation of millions of concurrent users across multiple machines. Its real-time web-based UI provides live monitoring and control during tests. Integrates with CI/CD pipelines and works well for both API and application performance testing.
Key Features
NeoLoad
NeoLoad is an enterprise-grade performance testing tool optimized for modern DevOps. It supports scalable load simulations for web, mobile, and APIs, integrates seamlessly with CI/CD pipelines, and offers a graphical interface for easy test design. With actionable analytics and flexible deployment options, NeoLoad is ideal for high-volume, complex environments. Read also about Loadrunner vs Neoload.
Key Features
Taurus
Taurus is an open-source, automation-friendly performance testing platform developed by the Blazemeter team. It supports multiple testing tools (like JMeter, Gatling, Locust, etc.) and integrates seamlessly with CI/CD pipelines. Taurus offers easy-to-understand YAML configuration and provides real-time results with detailed reporting. By making Taurus open-source, BlazeMeter aimed to tap into a broader audience.
Key Features
WebLOAD
WebLOAD is a professional-grade load testing tool designed for large-scale applications, particularly in the enterprise sector. It offers advanced scripting capabilities, supports distributed load testing, and integrates with CI/CD pipelines. WebLOAD provides real-time monitoring and detailed reporting, making it ideal for performance testing in complex, high-traffic environments.
Key Features
Akamai CloudTest
Yet another BlazeMeter alternative, Akamai CloudTest is a load testing platform that specializes in high-performance, secure content delivery at scale. With a vast network of edge servers, Akamai ensures low latency, fast load times, and robust security for websites and applications. It specializes in DDoS protection, web application security, and traffic management, providing enterprises with a reliable solution for performance and security at the edge of the internet.
Key Features
Final Thought
When choosing between the BlazeMeter performance testing alternatives, consider your team’s specific needs, whether they involve API-focused testing, cloud-native applications, or enterprise-grade scalability. Each tool in this list offers unique features and capabilities, offering viable options for modern performance testing.
If you’re looking for a solution that goes beyond traditional cloud-based load testing, PFLB stands out with AI-powered performance insights. With its cutting-edge technology and focus on simplifying complex workflows, PFLB JMeter cloud load testing tool empowers performance engineers to get actionable and reliable results faster.
Related insights in blog articles
Throughput in JMeter: What Is It & How It Works

Key Takeaways Throughput in JMeter defines how quickly a system can handle requests during a test. For performance engineers, it’s one of the core indicators that show whether an application can keep up with real-world demand. In this article, we’ll explore what throughput in JMeter actually measures, how it differs from metrics like concurrent users, […]
AI in Load Testing: Tools, Capabilities, Limitations, and Future Trends

Load testing has always been essential for ensuring applications can handle real-world traffic, but the process traditionally demands deep technical expertise, time-intensive setup, and painstaking manual analysis. AI is changing that. By automating scenario creation, optimizing test parameters, and delivering clear, data-driven reports, AI is lowering the barrier to entry and speeding up feedback loops. […]
Scalability Testing: A Complete Guide

Key Takeaways When your user base grows, your application faces new challenges. Scalability testing in software testing helps you anticipate these moments clearly and confidently. Instead of guessing if your system can keep pace, you’ll know exactly how it behaves under increasing pressure. In this guide, we’ll cover precisely what scalability testing is, why it […]
JMeter Ramp Up Period Explained

Key Takeaways The Apache JMeter ramp up period defines how quickly test threads start, shaping the load profile your system experiences. A poorly chosen value can distort results — too fast and you simulate unrealistic spikes, too slow and you never reach steady state. This guide clarifies what is ramp up period in JMeter, how […]
Be the first one to know
We’ll send you a monthly e-mail with all the useful insights that we will have found and analyzed
People love to read
Explore the most popular articles we’ve written so far
- Top 10 Online Load Testing Tools for 2025 May 19, 2025
- Cloud-based Testing: Key Benefits, Features & Types Dec 5, 2024
- Benefits of Performance Testing for Businesses Sep 4, 2024
- Android vs iOS App Performance Testing: What’s the Difference? Dec 9, 2022
- How to Save Money on Performance Testing? Dec 5, 2022