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  5. Gatling vs Postman

Gatling vs Postman

OverviewDecisionsComparisonAlternatives

Overview

Postman
Postman
Stacks96.1K
Followers82.5K
Votes1.8K
Forks0
Gatling
Gatling
Stacks244
Followers318
Votes21
GitHub Stars6.8K
Forks1.2K

Gatling vs Postman: What are the differences?

Introduction

In this article, we will discuss the key differences between Gatling and Postman. Both Gatling and Postman are popular tools used for API testing, but they have distinct features and functionalities that set them apart from each other.

  1. Performance Testing vs Functional Testing: One of the main differences between Gatling and Postman is the primary purpose they serve. Gatling is primarily a performance testing tool, used to simulate a large number of concurrent users accessing an application, and measure its performance under heavy workload. On the other hand, Postman is more focused on functional testing, allowing users to send HTTP requests and inspect the responses for individual requests or a series of requests.

  2. Scripting Language: Gatling uses a Scala-based DSL (Domain Specific Language) for writing performance test scripts. Scala is a powerful programming language that offers more flexibility and advanced capabilities for performance testing. On the contrary, Postman uses JavaScript as its scripting language, which is a widely-used and beginner-friendly language for API testing. This difference in scripting language could impact how complex test scenarios can be designed and implemented.

  3. GUI vs Command Line Interface: Gatling provides a GUI (Graphical User Interface) for designing and executing performance tests. The GUI allows users to create test scenarios graphically by creating HTTP requests, defining request headers, parameters, and more. In contrast, Postman is primarily a command line tool, although it also offers a user-friendly GUI. The command line interface in Postman enables automation and integration with other tools and processes.

  4. Load Distribution: When it comes to distributing load across multiple machines or servers, Gatling provides built-in mechanisms to distribute the load generated by virtual users. These mechanisms ensure the load is distributed evenly and effectively, resulting in accurate performance test results. On the other hand, Postman does not offer built-in load distribution capabilities. Users can manually distribute the load by running multiple instances of Postman or utilizing third-party tools.

  5. Reporting: Gatling provides comprehensive and detailed performance test reports that include metrics like response time, throughput, number of requests, and more. These reports are generated in HTML format and can be easily analyzed to identify bottlenecks and performance issues. Additionally, Gatling offers integration with third-party tools like Grafana and InfluxDB for further data analysis and visualization. Comparatively, Postman's reporting capabilities are more limited, providing basic information about the executed requests and responses.

  6. Open-Source vs Commercial Tool: Gatling is an open-source tool, available for free to use and customize as per the requirements. It has an active community contributing to its development and providing support. On the other hand, Postman provides both free and paid versions. The free version offers limited features and functionalities, while the paid version, known as Postman Pro, offers additional features like team collaboration, documentation generation, and advanced request building.

In summary, the key differences between Gatling and Postman include their primary purpose (performance testing vs functional testing), scripting language (Scala vs JavaScript), GUI vs command line interface, load distribution capabilities, reporting features, and the licensing model. Knowing these differences will help users choose the most suitable tool based on their testing requirements.

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Advice on Postman, Gatling

Jagdeep
Jagdeep

Tech Lead at Founder and Lightning

May 6, 2019

ReviewonPostmanPostman

I use Postman because of the ease of team-management, using workspaces and teams, runner, collections, environment variables, test-scripts (post execution), variable management (pre and post execution), folders (inside collections, for better management of APIs), newman, easy-ci-integration (and probably a few more things that I am not able to recall right now).

411k views411k
Comments
StackShare
StackShare

May 1, 2019

Needs advice

From a StackShare Community member: "I just started working for a start-up and we are in desperate need of better documentation for our API. Currently our API docs is in a README.md file. We are evaluating Postman and Swagger UI. Since there are many options and I was wondering what other StackSharers would recommend?"

382k views382k
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

Postman
Postman
Gatling
Gatling

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

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.

Compact layout;HTTP requests with file upload support;Formatted API responses for JSON and XML;Image previews;Request history;Basic Auth, OAuth 1.0, OAuth 2.0, and other common auth helpers;Autocomplete for URL and header values;Key/value editors for adding parameters or header values. Works for URL parameters too.;Use environment variables to easily shift between settings. Great for testing production, staging or local setups.;Keyboard shortcuts to maximize your productivity;Automatically generated web documentation;Mock servers hosted on Postman’s cloud;API monitoring run from Postman cloud
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
-
GitHub Stars
6.8K
GitHub Forks
0
GitHub Forks
1.2K
Stacks
96.1K
Stacks
244
Followers
82.5K
Followers
318
Votes
1.8K
Votes
21
Pros & Cons
Pros
  • 490
    Easy to use
  • 369
    Great tool
  • 276
    Makes developing rest api's easy peasy
  • 156
    Easy setup, looks good
  • 144
    The best api workflow out there
Cons
  • 10
    Stores credentials in HTTP
  • 9
    Bloated features and UI
  • 8
    Cumbersome to switch authentication tokens
  • 7
    Poor GraphQL support
  • 5
    Expensive
Pros
  • 6
    Great detailed reports
  • 5
    Can run in cluster mode
  • 5
    Loadrunner
  • 3
    Scala based
  • 2
    Load test as code
Cons
  • 2
    Steep Learning Curve
  • 1
    Hard to test non-supported protocols
  • 0
    Not distributed
Integrations
HipChat
HipChat
Keen
Keen
Slack
Slack
Dropbox
Dropbox
Datadog
Datadog
PagerDuty
PagerDuty
Bigpanda
Bigpanda
Microsoft Teams
Microsoft Teams
Newman
Newman
VictorOps
VictorOps
No integrations available

What are some alternatives to Postman, Gatling?

Swagger UI

Swagger UI

Swagger UI is a dependency-free collection of HTML, Javascript, and CSS assets that dynamically generate beautiful documentation and sandbox from a Swagger-compliant API

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Apiary

Apiary

It takes more than a simple HTML page to thrill your API users. The right tools take weeks of development. Weeks that apiary.io saves.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

ReadMe.io

ReadMe.io

It is an easy-to-use tool to help you build out documentation! Each documentation site that you publish is a project where there is space for documentation, interactive API reference guides, a changelog, and much more.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

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.

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

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