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  1. Stackups
  2. DevOps
  3. Load Testing
  4. Load And Performance Testing
  5. AWS Snowball Edge vs Gatling

AWS Snowball Edge vs Gatling

OverviewDecisionsComparisonAlternatives

Overview

Gatling
Gatling
Stacks244
Followers318
Votes21
GitHub Stars6.8K
Forks1.2K
AWS Snowball Edge
AWS Snowball Edge
Stacks5
Followers51
Votes1

AWS Snowball Edge vs Gatling: What are the differences?

What is AWS Snowball Edge? Petabyte-scale data transport with on-board storage and compute. AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.

What is Gatling? open-source load testing framework based on Scala, Akka and Netty. 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..

AWS Snowball Edge can be classified as a tool in the "Data Transfer" category, while Gatling is grouped under "Load and Performance Testing".

Gatling is an open source tool with 4.28K GitHub stars and 912 GitHub forks. Here's a link to Gatling's open source repository on GitHub.

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Advice on Gatling, AWS Snowball Edge

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
Aravinth
Aravinth

SSE

Nov 19, 2019

Needs advice

I want to do performance testing with HTTP protocol but the test script should be java script. For now, I kept "Artillery" and "K6" tools in my queue. Did you guys have any idea about this? Is there any tools which support Test script language: JavaScript Protocol: Http/web service Must Feature: Record OS: Mac os/windows

84.4k views84.4k
Comments

Detailed Comparison

Gatling
Gatling
AWS Snowball Edge
AWS Snowball Edge

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.

AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.

Simulating heavy traffic; Load testing as code for CI/CD integration & automation; API Load testing; Automated deployment of load injectors; Response times reports
-
Statistics
GitHub Stars
6.8K
GitHub Stars
-
GitHub Forks
1.2K
GitHub Forks
-
Stacks
244
Stacks
5
Followers
318
Followers
51
Votes
21
Votes
1
Pros & Cons
Pros
  • 6
    Great detailed reports
  • 5
    Loadrunner
  • 5
    Can run in cluster mode
  • 3
    Scala based
  • 2
    Load test as code
Cons
  • 2
    Steep Learning Curve
  • 1
    Hard to test non-supported protocols
  • 0
    Not distributed
Pros
  • 1
    SBManager™ is the only commercially available GUI for t
Integrations
No integrations available
Amazon SNS
Amazon SNS

What are some alternatives to Gatling, AWS Snowball Edge?

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.

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.

BlazeMeter

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

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.

AWS Data Pipeline

AWS Data Pipeline

AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

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