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gatling.io VS Appvance

Compare gatling.io VS Appvance and see what are their differences

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gatling.io logo gatling.io

Gatling is an open-source load testing framework based on Scala, Akka and Netty

Appvance logo Appvance

The Appvance Unified Test Platform is the Fastest Way to Test.
  • gatling.io Landing page
    Landing page //
    2023-07-27
  • Appvance Landing page
    Landing page //
    2023-07-13

gatling.io videos

+ Add

Gatling Introduction

Appvance videos

+ Add

Appvance: All in One Functional, Stress and Load Testing

More videos:

  • Review - Appvance UTP Architecture: An Overview
  • Review - Webinar on Augmenting your QA team with AI | GAVS & Appvance

Category Popularity

0-100% (relative to gatling.io and Appvance)

gatling.io

Appvance

Website Testing
70 70%
Website Testing
30% 30
Monitoring Tools
100 100%
Monitoring Tools
0% 0
Automated Testing
0 0%
Automated Testing
100% 100
Developer Tools
100 100%
Developer Tools
0% 0

User comments

Share your experience with using gatling.io and Appvance. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, gatling.io seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

gatling.io mentions (19)

  • What is Load Testing? Complete Tutorial With Best Practices
    Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / about 2 months ago
  • Best Practices in Testing GraphQL APIs
    Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / 10 months ago
  • Perf/web testing framework similar to locust/gatling for .NET?
    New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports. Source: about 1 year ago
  • How can I do a simple load test for an API I'm developing?
    Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: about 1 year ago
  • Optimizing Decision Making with a Trie Tree-Based Rules Engine: An Experience Report
    I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling. - Source: dev.to / over 1 year ago
View more

Appvance mentions (0)

We have not tracked any mentions of Appvance yet. Tracking of Appvance recommendations started around Mar 2021.

What are some alternatives?

When comparing gatling.io and Appvance, you can also consider the following products

locust - An open source load testing tool written in Python.

testRigor - Use plain English to build stable and maintainable functional end-to-end tests.

Apache JMeter - Apache JMeter™.

Hey Load Generator - HTTP load generator, ApacheBench (ab) replacement, formerly known as rakyll/boom

Loader.io - Loader.io is a simple cloud-based load testing service

Functionize - Functionize combines natural language processing, deep-learning ML models and other AI-based technologies to empower your team to build tests faster that don’t break and run at scale in the cloud.

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