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Ratings and Reviews 0 Ratings
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qTestEffective software testing requires centralized management and visibility from the initial concept to the final production phase to enhance both the speed and security of software releases. Tricentis qTest empowers teams to collaborate more efficiently and accelerate delivery while minimizing risks by integrating, overseeing, and scaling testing efforts across the organization. Comprehensive testing encompasses a wide array of tools, teams, test types, and methodologies. By unifying these aspects, Tricentis qTest allows teams to release software with greater assurance and lower risk. Furthermore, it assists in pinpointing collective opportunities for speeding up processes. Teams can automate additional testing, boost release velocity, and enhance collaboration throughout the software development lifecycle. With seamless integrations into DevOps tools like Jira, Jenkins, and GitHub, quality assurance and development teams can remain aligned and coordinated. Additionally, maintaining a thorough audit trail enables tracing of defects and tests back to their development and requirements, ensuring clarity and accountability. Cross-project reporting facilitates alignment among teams, fostering a more cohesive approach to software development and delivery.
What is OpenText Functional Test Automation?
Automating functional tests for both web and mobile applications is essential for maintaining quality across rich-client and enterprise environments. The design of collaborative testing facilitates seamless cooperation between business and technical stakeholders to guarantee comprehensive test coverage. This approach enables efficient quality assurance while accelerating the testing process across various devices and platforms, including web and mobile applications. You can leverage existing Selenium scripts to enhance your testing processes in Silk Test for both desktop and mobile browsers. To ensure timely feedback during daily check-ins, incorporating functional testing into the CI/CD pipeline is crucial. Additionally, both parallel and dockerized testing capabilities are available, allowing for greater flexibility. By creating a unified script, you can conduct tests across multiple browsers such as IE, Edge, Firefox, Chrome, and Safari. With built-in back-end virtualization, realistic service behavior simulations can be crafted, significantly reducing time spent on testing. Ultimately, fostering collaboration in the test design process ensures that all customer usage scenarios are adequately covered, leading to a more robust application quality. This comprehensive approach not only enhances testing efficiency but also aligns technical goals with business objectives.
What is Datafold?
Prevent data outages by taking a proactive approach to identify and address data quality issues before they make it to production. You can achieve comprehensive test coverage of your data pipelines in just a single day, elevating your performance from zero to a hundred percent. With automated regression testing spanning billions of rows, you will gain insights into the effects of each code change. Simplify your change management processes, boost data literacy, ensure compliance, and reduce response times for incidents. By implementing automated anomaly detection, you can stay one step ahead of potential data challenges, ensuring you remain well-informed. Datafold’s adaptable machine learning model accommodates seasonal fluctuations and trends in your data, allowing for the establishment of dynamic thresholds tailored to your needs. Streamline your data analysis efforts significantly with the Data Catalog, designed to facilitate the easy discovery of relevant datasets and fields while offering straightforward exploration of distributions through a user-friendly interface. Take advantage of features such as interactive full-text search, comprehensive data profiling, and a centralized metadata repository, all crafted to optimize your data management experience. By utilizing these innovative tools, you can revolutionize your data processes, resulting in enhanced efficiency and improved business outcomes. Ultimately, embracing these advancements will position your organization to harness the full potential of your data assets.
Integrations Supported
Amazon Redshift
Amundsen
Apache Airflow
Azure Databricks
DataHub
GitHub
GitLab
Google Cloud BigQuery
PagerDuty
PostgreSQL
Integrations Supported
Amazon Redshift
Amundsen
Apache Airflow
Azure Databricks
DataHub
GitHub
GitLab
Google Cloud BigQuery
PagerDuty
PostgreSQL
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
OpenText
Date Founded
1991
Company Location
Canada
Company Website
www.opentext.com/products/functional-test-automation
Company Facts
Organization Name
Datafold
Company Location
United States
Company Website
www.datafold.com
Categories and Features
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
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
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management