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What is TestBench for IBM i?
Managing and testing data for IBM i, IBM iSeries, and AS/400 systems necessitates a meticulous approach to validating intricate applications, right down to the data they rely on. TestBench for IBM i provides a powerful and dependable framework for managing test data, verifying its integrity, and conducting unit tests, all while integrating effortlessly with other tools to enhance overall application quality. Rather than replicating the entire production database, you can concentrate on the critical data necessary for your testing operations. By selecting or sampling relevant data without compromising referential integrity, you can optimize the testing workflow. It becomes straightforward to pinpoint which data fields need protection, allowing you to implement various obfuscation methods to ensure data security. Furthermore, you can keep track of every data operation, including inserts, updates, and deletions, as well as their intermediate states. Establishing automatic alerts for data abnormalities through customizable rules can greatly minimize the need for manual monitoring. This methodology eliminates the cumbersome save and restore processes, clarifying any discrepancies in test outcomes that may arise from insufficient initial data. While comparing outputs remains a standard practice for validating test results, it can be labor-intensive and prone to errors; however, this cutting-edge solution can significantly cut down on the time required for testing, resulting in a more efficient overall process. With TestBench, not only can you improve your testing precision, but you can also conserve valuable resources, allowing for a more streamlined development cycle. Ultimately, adopting such innovative tools can lead to enhanced software quality and more reliable deployment outcomes.
What is GenRocket?
Solutions for synthetic test data in enterprises are crucial for ensuring that the test data mirrors the architecture of your database or application accurately. This necessitates that you can easily design and maintain your projects effectively. It's important to uphold the referential integrity of various relationships, such as parent, child, and sibling relations, across different data domains within a single application database or even across various databases used by multiple applications. Moreover, maintaining consistency and integrity of synthetic attributes across diverse applications, data sources, and targets is vital. For instance, a customer's name should consistently correspond to the same customer ID across numerous simulated transactions generated in real-time. Customers must be able to swiftly and accurately construct their data models for testing projects. GenRocket provides ten distinct methods for establishing your data model, including XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, and Salesforce, ensuring flexibility and adaptability in data management processes. These various methods empower users to choose the best fit for their specific testing needs and project requirements.
Integrations Supported
Amazon Web Services (AWS)
Ansible
BlazeMeter
CA Flowdock
Chef
Decision Moments
Docker
Eclipse IDE
Gatling
Gerrit Code Review
Integrations Supported
Amazon Web Services (AWS)
Ansible
BlazeMeter
CA Flowdock
Chef
Decision Moments
Docker
Eclipse IDE
Gatling
Gerrit Code Review
API Availability
Has API
API Availability
Has API
Pricing Information
$1,200 per user per year
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
Original Software
Date Founded
1997
Company Location
United Kingdom
Company Website
originalsoftware.com/products/testbench/
Company Facts
Organization Name
GenRocket
Date Founded
2012
Company Location
United States
Company Website
www.genrocket.com/enterprise-features/
Categories and Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
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
Test Management
Automation Integration
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking
Time/Budget Tracking