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What is NeoLoad?

Software designed for ongoing performance testing facilitates the automation of API load and application evaluations. In the case of intricate applications, users can create performance tests without needing to write code. Automated pipelines can be utilized to script these performance tests specifically for APIs. Users have the ability to design, manage, and execute performance tests using coding practices. Afterward, the results can be assessed within continuous integration pipelines, leveraging pre-packaged plugins for CI/CD tools or through the NeoLoad API. The graphical user interface enables quick creation of test scripts tailored for large, complex applications, effectively eliminating the time-consuming process of manually coding new or revised tests. Service Level Agreements (SLAs) can be established based on built-in monitoring metrics, enabling users to apply stress to the application and align SLAs with server-level statistics for performance comparison. Furthermore, the automation of pass/fail triggers utilizing SLAs aids in identifying issues effectively and contributes to root cause analysis. With automatic updates for test scripts, maintaining these scripts becomes much simpler, allowing users to update only the impacted sections while reusing the remaining parts. This streamlined approach not only enhances efficiency but also ensures that tests remain relevant and effective over time.

What is JMeter?

Apache JMeterâ„¢ is a free tool written in pure Java, designed for performing load tests to evaluate both functional behavior and performance metrics of applications. Originally developed for testing web applications, its functionality has expanded to cover a wide range of testing scenarios. This adaptable software is capable of assessing performance for both static and dynamic resources, including web applications that exhibit dynamic properties. By simulating heavy traffic on either a single server or a network of servers, users can investigate the system's robustness and scrutinize its performance under various load conditions. Consequently, Apache JMeter has emerged as a crucial resource for developers and testers who are focused on achieving the best performance and reliability for their applications. Furthermore, its continuous updates and community support contribute to its status as a preferred choice among professionals in the field.

Media

Media

Integrations Supported

AWS CodeBuild
Appium
Azure DevOps
Azure Marketplace
COBIX-IVF
Digital.ai Release
Enov8
Frugal Testing
Git
GitLab
LoadFocus
PFLB
Perfana
Prometheus
QF-Test
Ranorex Studio
SAP Store
Selenium
Testable
Worksoft Certify

Integrations Supported

AWS CodeBuild
Appium
Azure DevOps
Azure Marketplace
COBIX-IVF
Digital.ai Release
Enov8
Frugal Testing
Git
GitLab
LoadFocus
PFLB
Perfana
Prometheus
QF-Test
Ranorex Studio
SAP Store
Selenium
Testable
Worksoft Certify

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tricentis

Date Founded

2007

Company Location

United States

Company Website

www.tricentis.com/products/performance-testing-neoload/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

jmeter.apache.org

Categories and Features

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Automated Testing

Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance

Functional Testing

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing

Load Balancing

Authentication
Automatic Configuration
Content Caching
Content Routing
Data Compression
Health Monitoring
Predefined Protocols
Redundancy Checking
Reverse Proxy
SSL Offload
Schedulers

Load Testing

API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing

Mobile App Testing

Functional Testing
Installation Testing
Interruption Testing
Memory Testing
Performance Testing
Usability Testing

Performance Testing

API Testing
Benchmarking
Cross Browser Testing
Debugging
Historical Reporting
Load Testing
Mobile Testing
Parallel Testing
Regression Testing
UI Testing
Web Testing

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Categories and Features

API Testing

Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing

Functional Testing

Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing

Load Testing

API Load Testing
Database Load Testing
Load Test Performance Reporting
Mail Load Testing
Multilocation Load Testing
Multiple Protocol Support
Test Script Customization
Web Application Testing

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

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