Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DataVantage provides a wide range of data management solutions that focus on the protection and governance of sensitive information in both mainframe and distributed settings. Among its key products are DataVantage for IMS, Db2, and VSAM, which incorporate sophisticated features for data masking, editing, and extraction, ensuring the safeguarding of Personally Identifiable Information (PII) during non-production activities. Furthermore, DataVantage DME (Data Masking Express) enables economical, real-time data masking for Db2, IMS, and VSAM environments, facilitating compliance without hindering existing operations. For distributed infrastructures, DataVantage Global offers comprehensive data masking, obfuscation, and de-identification processes, promoting both compliance and operational effectiveness across various platforms. Moreover, DataVantage Adviser streamlines the management of COBOL files following mainframe rehosting or application modernization, thereby improving data accessibility and editing capabilities. This holistic approach to data management not only enhances security measures but also supports organizations in their quest for regulatory compliance and operational integrity.
Description
Testing and managing test data for IBM i, IBM iSeries, and AS/400 systems requires thorough validation of complex applications, extending down to the underlying data. TestBench for IBM i offers a robust and reliable solution for test data management, verification, and unit testing, seamlessly integrating with other tools to ensure overall application quality. Instead of duplicating the entire live database, you can focus on the specific data that is essential for your testing needs. By selecting or sampling data while maintaining complete referential integrity, you can streamline the testing process. You can easily identify which fields require protection and employ various obfuscation techniques to safeguard your data effectively. Additionally, you can monitor every insert, update, and delete action, including the intermediate states of the data. Setting up automatic alerts for data failures through customizable rules can significantly reduce manual oversight. This approach eliminates the tedious save and restore processes and helps clarify any inconsistencies in test results that stem from inadequate initial data. While comparing outputs is a reliable way to validate test results, it often involves considerable effort and is susceptible to mistakes; however, this innovative solution can significantly reduce the time spent on testing, making the entire process more efficient. With TestBench, you can enhance your testing accuracy and save valuable resources.
API Access
Has API
API Access
Has API
Integrations
IBM Db2
IBM i
Insight
Kyndryl Data Center Services
NTT Global Data Centers
QF-Test
Integrations
IBM Db2
IBM i
Insight
Kyndryl Data Center Services
NTT Global Data Centers
QF-Test
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$1,200 per user per year
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DataVantage
Founded
1986
Country
United States
Website
datavantage.com
Vendor Details
Company Name
Original Software
Founded
1997
Country
United Kingdom
Website
originalsoftware.com/products/testbench/
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product 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