Top 10 Mobile Performance Testing Tools in 2021

mobile performance testing tools logos
Photo by Luke Porter on Unsplash

Mobile Performance Testing Tools

1. Akamai CloudTest

  • Shift-left testing: Plug into continuous integration (CI) tools for automated “shift-left” testing
  • Elastic, Globally Distributed Environment: Accurately test your infrastructure with geographically dispersed loads. Its Global Test Cloud generates realistic production volume from locations that represent your actual user base.
  • Visual Test Creation: Object-based scripting allows you to insert conditionals and loops; nest actions; set parameters, variables, and validations; and reuse and combine tests — all without code.
  • Visual Playback Editor: Drag and drop test cases into tracks to be executed on various cloud or on-premise locations. Configure virtual users, geographic origin, repeats, ramp-ups, and pacing with just a few clicks.
  • Customizable Dashboards: Use built-in dashboards, or quickly customize your own using a drag-and-drop interface to see what’s important to you. Merge analytics, including third-party data from monitoring tools, for a single view of performance.

2. Apica LoadTest

  • Simulate real-world user behavior: from around the world, including mainland China, and test high-traffic applications with confidence using a website stress test.
  • Advanced scripting tool: Easily create scripts for complex app load testing scenarios with the scripting tool without writing any code. Build scripts for any device by record/replay or enter transactions manually.
  • Troubleshooting: Discover how your application responds to various loads with a load test and identify performance bottlenecks before they cause damage in production. Compare every release against benchmarks and ensure your digital service stands up to your scalability requirements.
  • Integrations: Integrates out-of-the-box with several technologies, offering a very high degree of flexibility. It offers native integration with New Relic and AppDynamics

3. Apptim

  • Native App Testing: Apptim evaluates the performance of native Android and iOS mobile apps while running them on real devices.
  • Performance and Bug Reports: After each test session, the tool generates a report with the performance metrics and bugs that you may find during your test session with Apptim.
  • JIRA Integration: Publish and track bugs directly in this project management tool.
  • Easy to Use: Apptim’s user interface is elegant and intuitive, making it a simple tool to use. In addition, on the website, you can find detailed documentation that will help you through your first steps with the tool and you have support available every step of the way.
  • Compare Two Test Sessions: If you repeat a test for a particular feature once a new version of your app is ready, you can compare the results to see if there are any big differences in the performance.
  • Supports Appium Test Automation: Run your Appium tests and capture performance metrics while using Apptim and integrate with any CI server.

4. BlazeMeter

  • 100% Compatible with Apache JMeter
  • Create tests on any scale — up to 1 million concurrent users
  • Set up tests within minutes
  • Run scriptless tests or upload URL lists
  • Run from the cloud or on-premise
  • Run tests from multiple geo-locations
  • Simulate mobile testing from real devices
  • Facilitates team collaboration with script and report sharing
  • Multi-tool support
  • Integrations with leading CI and APM tools
  • Desktop and mobile user experience monitoring

5. Eggplant

  • Easy script generation: Eggplant Performance provides sophisticated protocol recording and data correlation to automatically generate user scripts.
  • Broad technical coverage and customizable virtual users: Eggplant Performance has deep support for testing apps, but it also has in-built support for other common client-server technologies.
  • Scalable and distributable: Eggplant Performance allows testers to partition virtual users any way they like across injectors. This means you can scale to any amount of users and from any location.

6. Experitest

  • Add Mobile and Web Performance Testing to Your Test Automation Suite: Integrate into your CI/CD pipeline with standard automated Appium & Selenium tests.
  • Integrate User Performance Metrics Into Manual and Automated Testing: Evaluate how responsive and effective an application is to the end-user under various network conditions, from different locations around the globe and on different devices, OS and browsers.
  • Measure Performance Data: Transaction duration, Speed Index, CPU consumption, Memory Consumption, Battery Consumption, Network data (upload and download)
  • Identify Performance Bottlenecks in Mobile and Web Tests: Reports with deep network and test data enable rapid root cause analysis including video reports of test actions and HAR (HTTP Archive) file downloads.

7. Gatling

  • Standalone HTTP Proxy Recorder
  • Scala-based scripting
  • An expressive self-explanatory DSL for test development
  • Asynchronous non-blocking engine for maximum performance
  • Support of HTTP(S) protocols and can also be used for JDBC and JMS load testing
  • Validations and assertions
  • Comprehensive HTML Report

8. HeadSpin

  • Monitor and optimize performance: Continuously monitor and analyze QoE across applications, devices and 3rd-party interfaces for full visibility to the real user experience.
  • Performance data from real-world conditions: Provides actual real-world data from all the various devices, networks and locations.
  • Performance issue detection: Leverage advanced AI capabilities to automatically identify performance issues in testing before they impact users.
  • Digital Lifecycle KPIs: Metrics and events from HeadSpin and 3rd party sources combine to provide insights and understanding throughout the digital experience lifecycle, from planning to development to operations.

9. JMeter

  • User-friendly GUI: JMeter comes with a simple and interactive GUI
  • Platform independent: JMeter is written and developed using java, so it can run on any environment or workstation that accepts a Java virtual machine, for example — Windows, Linux, Mac, etc.
  • Supports various server types: Web (HTTP, HTTPS, SOAP), database (JDBC, LDAP, JMS) and mail (POP3)
  • Supports multiple protocols: HTTP, JDBC, LDAP, SOAP, JMS, and FTP
  • Simulate multiple users: JMeter simulates multiple users by using virtual users or unique users in order to generate heavy load against a mobile application under test
  • Multi-threading framework: Allows concurrent and simultaneous sampling of different functions by many or separate thread groups
  • Remote distributed testing: JMeter uses a Master-Slave concept for distributed testing where the master will distribute tests among all the slaves and the slaves will execute scripts against your server
  • Reporting: Test results can be viewed in different formats like graph, table, tree, and report etc.

10. Neoload

  • Record any mobile app: Directly record native, hybrid, and mobile browser apps from any device or emulator
  • Validate performance under realistic network conditions: Network virtualization for bandwidth, latency and packet loss; Predefined pickers for signal strengths and network types
  • Simulate any mobile device or browser: Use simulated devices and browsers for realistic response times and load with predefined or custom settings for most popular devices
  • Test on real devices and browsers under load: Complete end-user experience from real mobile and IoT devices and browsers. Capture rendering times, CPU, battery, memory, and more
  • Integrations: Use with Perfecto, Appium, Selenium, and more
  • Create geographic realism from the cloud: It gives you the option to use all major cloud providers in one platform with the ability to distributed tests geographically from outside the firewall
Photo by Oleg Magni on Unsplash

Mobile Performance is Good UX

  • Type of app
  • Network conditions
  • Virtual users, real users; distributed load
  • Device-level (client-side) performance testing
  • Server-side performance testing
  • Load conditions and types of testing
  • Test data and business-critical scenarios
  • Device availability (physical or cloud-hosted)

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