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  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. AWS Device Farm vs BlazeMeter

AWS Device Farm vs BlazeMeter

OverviewComparisonAlternatives

Overview

BlazeMeter
BlazeMeter
Stacks68
Followers158
Votes13
AWS Device Farm
AWS Device Farm
Stacks74
Followers180
Votes5

AWS Device Farm vs BlazeMeter: What are the differences?

Developers describe AWS Device Farm as "Test your app on real devices in the AWS Cloud". Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors. On the other hand, BlazeMeter is detailed as "The Load Testing Platform for Developers". 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.
.

AWS Device Farm and BlazeMeter can be categorized as "Load and Performance Testing" tools.

Some of the features offered by AWS Device Farm are:

  • Test on the same devices your customers use
  • Fix issues faster and delight your users
  • Simulate real-world environments

On the other hand, BlazeMeter provides the following key features:

  • 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.

According to the StackShare community, BlazeMeter has a broader approval, being mentioned in 6 company stacks & 3 developers stacks; compared to AWS Device Farm, which is listed in 5 company stacks and 3 developer stacks.

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Detailed Comparison

BlazeMeter
BlazeMeter
AWS Device Farm
AWS Device Farm

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>

Run tests across a large selection of physical devices in parallel from various manufacturers with varying hardware, OS versions and form factors.

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>
Test on the same devices your customers use; Fix issues faster and delight your users; Simulate real-world environments; Choose the tests that work for you; Integrate with your development workflow; Test with confidence;
Statistics
Stacks
68
Stacks
74
Followers
158
Followers
180
Votes
13
Votes
5
Pros & Cons
Pros
  • 10
    I can run load tests without needing JMeter scripts.
  • 3
    Easy to prepare JMeter workers
Cons
  • 1
    UI centric
  • 1
    Costly
Pros
  • 3
    1000 free minutes
  • 2
    Pay as you go pricing
Cons
  • 1
    Records all sessions, blocks on processing when done
  • 1
    You need to remember to turn airplane mode off
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
No integrations available

What are some alternatives to BlazeMeter, AWS Device Farm?

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.

Locust

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

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.

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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