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  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. BlazeMeter vs Locust

BlazeMeter vs Locust

OverviewDecisionsComparisonAlternatives

Overview

BlazeMeter
BlazeMeter
Stacks68
Followers158
Votes13
Locust
Locust
Stacks191
Followers317
Votes51
GitHub Stars27.0K
Forks3.1K

BlazeMeter vs Locust: What are the differences?

Introduction:

BlazeMeter and Locust are two popular tools used for load testing and performance testing of web applications. While both tools serve a similar purpose, there are key differences that set them apart.

  1. Programming Language: One of the key differences between BlazeMeter and Locust is the programming language used for scripting tests. BlazeMeter primarily uses YAML, whereas Locust is based on Python. This difference can impact the ease of writing and maintaining test scripts, depending on the user's familiarity with the languages.

  2. User Interface: Another significant difference lies in the user interface of BlazeMeter and Locust. BlazeMeter offers a user-friendly, web-based interface that simplifies test configuration and monitoring, making it accessible to users with varying levels of technical expertise. In contrast, Locust provides a more minimalistic, command-line interface that may require more technical knowledge to operate efficiently.

  3. Distributed Testing: BlazeMeter is designed for scalable, cloud-based load testing, allowing users to easily distribute tests across multiple servers or locations for comprehensive performance analysis. Locust, on the other hand, relies on the user's infrastructure for distributed testing, which may require additional configuration and setup for achieving similar scalability.

  4. Community Support: When it comes to community support and resources, Locust has a strong open-source community that actively contributes to its development and provides extensive documentation and plugins. BlazeMeter, being a commercial tool, offers dedicated support and resources but may lack the same level of community-driven content and collaboration.

  5. Cost Structure: The cost structure of BlazeMeter and Locust also differs significantly. BlazeMeter is a paid tool that offers various pricing plans based on the number of virtual users and test duration. In contrast, Locust is open-source and free to use, making it a cost-effective option for users with budget constraints or those seeking flexibility in test customization and deployment.

In Summary, BlazeMeter and Locust differ in terms of programming language, user interface, distributed testing capabilities, community support, and cost structure, catering to a diverse range of load testing requirements and preferences.

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Advice on BlazeMeter, Locust

Rashmi
Rashmi

Mar 17, 2021

Needs adviceonJenkinsJenkinsGatlingGatlingLocustLocust

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
Vrashab

QA at Altair

Jun 23, 2020

Needs adviceonGatlingGatlingLocustLocustFlood IOFlood 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

BlazeMeter
BlazeMeter
Locust
Locust

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>

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.

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>
Define user behaviour in code;Distributed & scalable;Proven & battle tested
Statistics
GitHub Stars
-
GitHub Stars
27.0K
GitHub Forks
-
GitHub Forks
3.1K
Stacks
68
Stacks
191
Followers
158
Followers
317
Votes
13
Votes
51
Pros & Cons
Pros
  • 10
    I can run load tests without needing JMeter scripts.
  • 3
    Easy to prepare JMeter workers
Cons
  • 1
    Costly
  • 1
    UI centric
Pros
  • 15
    Hackable
  • 11
    Supports distributed
  • 7
    Open source
  • 6
    Easy to setup
  • 6
    Easy to use
Cons
  • 1
    Bad design
Integrations
TeamCity
TeamCity
Jenkins
Jenkins
Bamboo
Bamboo
CloudBees
CloudBees
Heroku
Heroku
New Relic
New Relic
AppDynamics
AppDynamics
Amazon CloudWatch
Amazon CloudWatch
Travis CI
Travis CI
Python
Python

What are some alternatives to BlazeMeter, Locust?

k6

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

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

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

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

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

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

Flood IO

Performance testing with Flood increases customer satisfaction and confidence in your production apps and reduces business risk.

Blitz

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

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

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.

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