BlazeMeter vs RedLine13
Overview
🔥 Trending in Load Testing on StackShare
Simulate network and system conditions for chaos testing
Detailed Comparison
Simulate any user scenario for webapps, websites, mobile apps or web services. 100% Apache JMeter compatible. Scalable from 1 to 1,000,000+ concurrent users.<br> | It is a load testing platform that brings the low cost power of the cloud to JMeter and other open source load testing tools. |
100% JMeter Compatible- Take full advantage of JMeter’s scripting capabilities or let our auto-scripting feature take care of the details.;Scalable and Realistic- Easily scale from 100 to 300,000+ concurrent users using realistic visitor behaviour and browser simulation.;Start Testing in 2 Minutes- Use up to 100 dedicated servers per test. No setup or installation required. Self-service and on-demand.;Intuitive Reporting- See test results in real time or easily compare multiple tests. All with a simple to use interface and intuitive graphs.;Pay only for what you need- Flexible pricing that accommodates hourly, monthly or annual usage. No setup or maintenance fees.<br> | Build packaged, custom, and repeatable tests that can easily delivered to QA, streamlining your testing process;Run an unlimited amount of tests on an unlimited amount of servers for as long as you’d like. Testing with RedLine13 means testing without limits.;Cloud load testing means you can scale out your tests: 1,000 users, 100,000 users, and even 1,000,000 users;By integrating with Jenkins, we complete the continuous integration process for load testing. So affordable you can test all day long |
Statistics | |
Stacks 68 | Stacks 14 |
Followers 158 | Followers 21 |
Votes 13 | Votes 8 |
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What are some alternatives to BlazeMeter, RedLine13?
k6
It is a developer centric open source load testing tool for testing the performance of your backend infrastructure. It’s built with Go and JavaScript to integrate well into your development workflow.
Locust
Locust is an easy-to-use, distributed, user load testing tool. Intended for load testing web sites (or other systems) and figuring out how many concurrent users a system can handle.
Gatling
Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance. Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support.
Loader.io
Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections.
Apache JMeter
It is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions.
AWS Device Farm
Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.
Flood IO
Performance testing with Flood increases customer satisfaction and confidence in your production apps and reduces business risk.
Blitz
Build bulletproof, scalable solutions with Blitz - a simple and fun service for load testing web apps and APIs in the cloud. Blitz offers powerful yet simple capabilities including continuous monitoring, performance testing and remediation. Blitz enables you to instantly burst up to 50,000 concurrent users against your app in seconds from multiple points of presence around the world.
LoadNinja
It is a cloud-based platform for engineers and performance professionals who load test web applications. It makes load testing simple and fast. Test your website and web apps on real browsers, in the cloud, without the need for dynamic correlation.
Artillery
It is a modern, open-source, powerful & easy-to-use performance testing toolkit. Use it to ship scalable applications that stay performant & resilient under high load. It prioritizes developer productivity and happiness and follows the “batteries-included” philosophy.
