Flood IO vs Locust

Overview

Flood IO

Stacks20

Followers70

Votes5

Locust

Stacks191

Followers317

Votes51

GitHub Stars27.0K

Forks3.1K

Flood IO vs Locust: What are the differences?

1. Scalability: Flood IO offers higher scalability than Locust as it can simulate millions of users while Locust is limited in the number of virtual users it can simulate.
2. Cloud Integration: Flood IO provides seamless integration with cloud platforms like AWS, Azure, and GCP for distributed load testing, whereas Locust requires manual setup for distributed load testing.
3. Reporting and Analysis: Flood IO provides detailed reporting and analysis tools, including real-time metrics and performance insights, while Locust has limited built-in reporting capabilities.
4. Protocol Support: Flood IO supports a wide range of protocols such as HTTP, WebSocket, and JMeter, whereas Locust mainly focuses on HTTP protocol.
5. User Interface: Flood IO offers a user-friendly web interface for test configuration and monitoring, making it easier for users to create and manage performance tests, whereas Locust relies on writing test scripts in Python code.
6. Pricing Model: Flood IO has a pay-as-you-go pricing model based on the number of virtual users and test duration, while Locust is an open-source tool with no licensing fees but requires more manual configuration and maintenance.

In Summary, Flood IO offers superior scalability, cloud integration, reporting capabilities, protocol support, user interface, and pricing model compared to Locust for load testing.

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Advice on Flood IO, Locust

Rashmi

Mar 17, 2021

Needs adviceon

Jenkins

Gatling

Locust

I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

104k views104k

Comments

Vrashab

QA at Altair

Jun 23, 2020

Needs adviceon

Gatling

Locust

Flood IO

I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

142k views142k

Comments

Detailed Comparison

Flood IO	Locust
Performance testing with Flood increases customer satisfaction and confidence in your production apps and reduces business risk.	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.
Browser-based load testing; JMeter load testing; Gatling load testing; Detailed reporting; on-premise; multi-cloud; AWS load testing	Define user behaviour in code;Distributed & scalable;Proven & battle tested
Statistics
GitHub Stars -	GitHub Stars 27.0K
GitHub Forks -	GitHub Forks 3.1K
Stacks 20	Stacks 191
Followers 70	Followers 317
Votes 5	Votes 51
Pros & Cons
Pros 2 Affordable 2 Great feature set 1 Easy to use	Pros 15 Hackable 11 Supports distributed 7 Open source 6 Easy to setup 6 Easy to use Cons 1 Bad design
Integrations
Travis CI GitHub New Relic Jenkins Slack CircleCI Amazon API Gateway AWS IAM Flowdock	Python

What are some alternatives to Flood IO, Locust?

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.

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.

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.

Soundkit

Voice agent QA for teams who can't afford broken calls, compliance gaps, or production failures. Simulate thousands of conversations, validate legal

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.

Related Comparisons

Flood IO vs Locust: What are the differences?

In Summary, Flood IO offers superior scalability, cloud integration, reporting capabilities, protocol support, user interface, and pricing model compared to Locust for load testing.

Flood IO vs Locust

Overview