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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 Distributional?
Traditional software testing is predicated on the idea that systems will act in expected manners. However, AI systems frequently demonstrate unpredictability, uncertainty, and inconsistencies, which can pose serious risks for products that incorporate AI technologies. To confront these hurdles, we are developing an innovative platform specifically aimed at the testing and assessment of AI, with the goal of improving safety, resilience, and reliability. It is crucial to ensure that your AI solutions are trustworthy prior to their launch, and it is equally important to uphold that trust over time. Our team is diligently enhancing the most extensive enterprise AI testing platform now available, and we are enthusiastic about receiving your feedback. By registering, you can access our prototypes early and help shape the future direction of our product development. We are a passionate team focused on solving the intricate challenges of AI testing at an enterprise level, drawing inspiration from our valued customers, partners, advisors, and investors. As AI capabilities continue to grow in various business functions, the resultant risks for these enterprises and their customers are also on the rise. With fresh reports surfacing daily that bring attention to concerns such as AI bias, instability, and errors, the demand for effective testing solutions has reached an unprecedented level. Meeting these challenges is not merely an objective; it is essential for the responsible advancement of AI technologies. The commitment to address these complexities will ultimately pave the way for enhanced trust and reliability in AI applications across industries.
Integrations Supported
AWS CodeBuild
AppDynamics
Appium
Azure DevOps Projects
Bamboo
Bitbucket
Digital.ai Release
Dynatrace
Git
GitHub
Integrations Supported
AWS CodeBuild
AppDynamics
Appium
Azure DevOps Projects
Bamboo
Bitbucket
Digital.ai Release
Dynatrace
Git
GitHub
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
Distributional
Company Website
distributional.com
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