Distributed Load Testing on AWS vs Tricentis NeoLoad
Overview
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Detailed Comparison
It automatically launches and configures containers running on AWS Fargate to help you easily create and simulate thousands of connected users generating a select number of transactions per second without having to provision servers. This solution delivers application performance monitoring, which will help you understand how your application will perform at scale and at expected load, identifying bottlenecks before you release your application. | It simplifies and scales performance testing for everything, from APIs and microservices to end-to-end application testing. It is designed for the complexities of modern enterprises. It is purpose-built to be flexible and fast, working with complementary testing solutions and toolchains, to enable continuous performance testing. |
Easier to simplify testing and reduce time to release by automating functional tests for your applications;
Includes an Amazon CloudWatch dashboard that displays the output of all tasks that are part of your automated test in near real time | Continuous performance testing;
Supports native testing of packaged applications, all protocols, virtualization, and web, mobile, microservices, and APIs;
Integrates with the entire tech stack from legacy systems to the DevOps toolchain;
Saas-based platform;
Cloud-agnostic and integrated with all cloud development tools;
Optimizes cloud infrastructure dynamically;
Automated approach within any CI pipeline;
Fits into existing developer and QA approaches with a Python CLI and REST API
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What are some alternatives to Distributed Load Testing on AWS, Tricentis NeoLoad?
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.
BlazeMeter
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>
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.
RedLine13
It is a load testing platform that brings the low cost power of the cloud to JMeter and other open source load testing tools.
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.
