Ratings and Reviews 1 Rating
Ratings and Reviews 8 Ratings
Ratings and Reviews 0 Ratings
Ratings and Reviews 0 Ratings
What is Tricentis Tosca?
Tricentis Tosca enables automated continuous testing without requiring any coding, establishing itself as the premier platform in this field, which improves the testing experience via its no-code, script-free approach for thorough test automation. It accommodates an extensive array of over 160 technologies and enterprise applications, ensuring that test automation remains effective across diverse scenarios.
The benefits of using Tricentis Tosca are numerous, including:
- Quick feedback loops designed for Agile and DevOps settings
- Drastic decreases in the time needed for regression testing, bringing it down to just minutes
- Greater reusability and simpler maintenance of test assets
- Increased clarity regarding potential business risks
- Smooth integration with and enhancement of existing testing tools like HPE UFT, Selenium, and SoapUI, among others.
By harnessing these features, organizations can optimize their testing workflows and elevate their overall quality assurance standards, ultimately leading to a more efficient software development lifecycle. This ensures that they remain competitive in rapidly evolving markets.
What is QuerySurge?
QuerySurge serves as an intelligent solution for Data Testing that streamlines the automation of data validation and ETL testing across Big Data, Data Warehouses, Business Intelligence Reports, and Enterprise Applications while incorporating comprehensive DevOps capabilities for ongoing testing.
Among its various use cases, it excels in Data Warehouse and ETL Testing, Big Data (including Hadoop and NoSQL) Testing, and supports DevOps practices for continuous testing, as well as Data Migration, BI Report, and Enterprise Application/ERP Testing.
QuerySurge boasts an impressive array of features, including support for over 200 data stores, multi-project capabilities, an insightful Data Analytics Dashboard, a user-friendly Query Wizard that requires no programming skills, and a Design Library for customized test design.
Additionally, it offers automated business report testing through its BI Tester, flexible scheduling options for test execution, a Run Dashboard for real-time analysis of test processes, and access to hundreds of detailed reports, along with a comprehensive RESTful API for integration.
Moreover, QuerySurge seamlessly integrates into your CI/CD pipeline, enhancing Test Management Integration and ensuring that your data quality is constantly monitored and improved.
With QuerySurge, organizations can proactively uncover data issues within their delivery pipelines, significantly boost validation coverage, harness analytics to refine vital data, and elevate data quality with remarkable efficiency.
What is GxQuality?
GxQualityâ„¢ is an automated quality assurance tool designed to facilitate comprehensive project validation by creating test scenarios and data while seamlessly connecting with CI/CD and computer vision processes. This innovative solution improves traceability between testing conditions and data, bolstered by the support of managed services from both local and international teams. We specialize in a diverse array of testing solutions throughout the organization, prioritizing DevOps methodologies, continuous integration and delivery practices, computer vision applications, and robust release management techniques. With GxQualityâ„¢, businesses can streamline their quality control processes, guaranteeing that every component of software deliverables adheres to the utmost standards of excellence. Ultimately, this tool empowers organizations to optimize their testing efforts and enhance overall project outcomes.
What is Datagaps ETL Validator?
DataOps ETL Validator is a comprehensive solution designed for automating the processes of data validation and ETL testing. It provides an effective means for validating ETL/ELT processes, simplifying the testing phases associated with data migration and warehouse projects, and includes a user-friendly interface that supports both low-code and no-code options for creating tests through a convenient drag-and-drop system. The ETL process involves extracting data from various sources, transforming it to align with operational requirements, and ultimately loading it into a specific database or data warehouse. Effective testing within this framework necessitates a meticulous approach to verifying the accuracy, integrity, and completeness of data as it moves through the different stages of the ETL pipeline, ensuring alignment with established business rules and specifications. By utilizing automation tools for ETL testing, companies can streamline data comparison, validation, and transformation processes, which not only speeds up testing but also reduces the reliance on manual efforts. The ETL Validator takes this automation a step further by facilitating the seamless creation of test cases through its intuitive interfaces, enabling teams to concentrate more on strategic planning and analytical tasks rather than getting bogged down by technical details. Consequently, it empowers organizations to enhance their data quality and improve operational efficiency significantly, fostering a culture of data-driven decision-making. Additionally, the tool's capabilities allow for easier collaboration among team members, promoting a more cohesive approach to data management.
Integrations Supported
Azure Databricks
Snowflake
Amazon DynamoDB
Amazon S3
Azure Data Lake
Azure SQL Database
Cloudera
DATPROF
Datagaps DataOps Suite
Hexawise
Integrations Supported
Azure Databricks
Snowflake
Amazon DynamoDB
Amazon S3
Azure Data Lake
Azure SQL Database
Cloudera
DATPROF
Datagaps DataOps Suite
Hexawise
Integrations Supported
Azure Databricks
Snowflake
Amazon DynamoDB
Amazon S3
Azure Data Lake
Azure SQL Database
Cloudera
DATPROF
Datagaps DataOps Suite
Hexawise
Integrations Supported
Azure Databricks
Snowflake
Amazon DynamoDB
Amazon S3
Azure Data Lake
Azure SQL Database
Cloudera
DATPROF
Datagaps DataOps Suite
Hexawise
API Availability
Has API
API Availability
Has API
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
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
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
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
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
1997
Company Location
Austria
Company Website
www.tricentis.com
Company Facts
Organization Name
RTTS
Date Founded
1996
Company Location
United States
Company Website
www.querysurge.com
Company Facts
Organization Name
GalaxE.Solutions
Date Founded
1990
Company Location
United States
Company Website
galaxe.com
Company Facts
Organization Name
Datagaps
Company Location
United States
Company Website
www.datagaps.com/etl-validator/
Categories and Features
API Testing
Functional Testing
Fuzz Testing
Load Testing
Penetration Testing
Runtime and Error Detection
Security Testing
UI Testing
Validation Testing
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
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
Quality Management
Audit Management
Complaint Management
Compliance Management
Corrective and Preventive Actions (CAPA)
Defect Tracking
Document Control
Equipment Management
ISO Standards Management
Maintenance Management
Risk Management
Supplier Quality Control
Training Management
Requirements Management
Automated Functional Sizing
Automated Requirements QA
Automated Test Generation
Automated Use Case Modeling
Change Management
Collaboration
History Tracking
Prioritization
Reporting
Status Reporting
Status Tracking
Summary Reports
Task Management
To-Do List
Traceability
User Defined Attributes
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
Categories and Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Functional Testing
Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing
NoSQL Database
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
Test Management
Automation Integration
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking
Time/Budget Tracking
Categories and Features
Test Management
Automation Integration
Collaboration Tools
Pass/Fail Results Tabulation
Reporting / Analytics
Requirements Management
Test Scheduling
Test Tracking
Time/Budget Tracking
Categories and Features
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control