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Datagaps DataOps Suite logo
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Datagaps DataOps Suite

A comprehensive data validation and observability platform for ETL testing, BI testing, data quality monitoring, and test data management. Recognized as a Specialist in Data Pipeline Test Automation by Gartner.

0.0
•0 reviews•1 upvotes
paid
Pricing
advanced
Complexity
🏢Large
20+ testers, departments, or enterprise teams
Team Fit
39
Features
Visit Website

Quick Info

Category

data

Programming Languages

sql,python,java,groovy,javascript

Supported Platforms

Official Website

Visit Datagaps DataOps Suite

Key Features

ETL Testing and Validation
BI Testing Automation
Data Quality Monitoring
Test Data Management
Data Migration Testing
Data Reconciliation
Flat File Testing
Database Testing
Data Warehouse Testing
Cloud Platform Support (Snowflake, Databricks, Azure Synapse)
BI Platform Support (Power BI, Tableau, Oracle Analytics)
AI-Powered Synthetic Test Data Generation
Low-Code/No-Code Test Creation
Automated Data Quality Checks
AI-Driven Anomaly Detection
Graphical Scoring and Monitoring Dashboard
CI/CD Integration
Role-Based Access Control
Enterprise Security and Compliance
Comprehensive Reporting
API Integration
DevOps Compatibility
Multi-format Data Support (JSON, XML, CSV)
Secure Data Masking
Policy-Driven Data Protection
Cross-Platform Validation
Performance and Load Testing for BI
Access and Security Validation
Aesthetic and Metadata Change Detection
100% Data Validation
Parallel Execution with Spark
Automated Metadata Testing
Business Rule Validation
Schema Mismatch Detection
Historical Data Analysis
Alerting and Notifications
Multi-geographic Testing
Enterprise-grade Security
Scalable Cloud Infrastructure

Pros

  • Gartner-recognized specialist in Data Pipeline Test Automation
  • Comprehensive end-to-end data testing automation
  • AI-powered features for test data generation and anomaly detection
  • Low-code/no-code approach for business users
  • Strong cloud platform integrations
  • Enterprise-grade security and compliance
  • Scalable architecture for large datasets
  • Comprehensive reporting and analytics
  • CI/CD pipeline integration
  • Multi-format data support

Cons

  • Enterprise pricing may be high for small teams
  • Complex setup for advanced features
  • Requires training for optimal usage
  • May be overkill for simple data testing needs
  • Limited open-source options

Limitations

  • Enterprise pricing may be high for small teams
  • Complex setup for advanced features
  • Requires training for optimal usage
  • May be overkill for simple data testing needs
  • Limited open-source options
  • Steep learning curve for advanced features
  • Requires dedicated infrastructure for on-premises deployment

Resources

Supercharge Data Quality: Automate ETL & BI Testing with Agentic AI

Data is the backbone of modern business decisions—but ensuring accuracy, consistency, and reliability in your ETL pipelines and BI projects remains a major challenge. Manual testing is time-consuming, prone to errors, and struggles to keep up with the complexity of today’s hybrid and real-time data environments. Join us for an exclusive webinar to discover how Agentic AI-powered automation is transforming ETL and BI testing, enabling organizations to eliminate data discrepancies, streamline workflows, and scale with confidence. Learn how Agentic AI can be automated to enhance data quality assurance, improve operational efficiency, and future-proof your data strategy. Key Takeaways: Why AI-Driven Testing? Overcoming data integrity challenges in evolving BI and ETL landscapes Next-Gen Testing Automation: How Agentic AI powers the Datagaps DataOps Suite for seamless validation Real-World Impact: Case studies on how leading organizations are revolutionizing their testing processes Whether you're a data engineer, architect, or IT leader, this session will provide actionable insights to help you enhance agility, reduce testing efforts, and unlock high-quality, trusted data for decision-making. Don't miss this chance to stay ahead in the era of AI-powered data and analytics test automation!

What Can You Do With Datagaps DataOps Suite?

Real-world use cases and scenarios where Datagaps DataOps Suite excels

🔌

API Testing & Validation

Validate API endpoints, test data integrity, and ensure proper error handling with Datagaps DataOps Suite's API testing capabilities.

🔄

Continuous Integration Pipeline

Integrate Datagaps DataOps Suite into your CI/CD pipeline to run automated tests on every commit and prevent bugs from reaching production.

✅

Quality Assurance Automation

Reduce manual testing time and improve software quality by automating repetitive test cases with Datagaps DataOps Suite.

Getting Started with Datagaps DataOps Suite

Follow these steps to start testing with Datagaps DataOps Suite

1

Sign Up for Datagaps DataOps Suite

Visit the official Datagaps DataOps Suite website and create your account. Most tools offer a free trial or free tier to get started.

2

Install & Configure

Install Datagaps DataOps Suite using your preferred programming language (sql,python,java,groovy,javascript) and configure your testing environment.

3

Write Your First Test

Start with a simple test case to familiarize yourself with Datagaps DataOps Suite's syntax and capabilities. Use their documentation and examples as reference.

4

Integrate with CI/CD

Once comfortable, integrate Datagaps DataOps Suite into your continuous integration pipeline to automate test execution on every code change.

5

Scale & Optimize

Expand your test coverage, optimize test execution time, and establish best practices for your team's testing workflow.

Get Started with Datagaps DataOps Suite →

Pricing & Plans

PAID

Commercial License

Datagaps DataOps Suite is a commercial tool with paid licensing. Pricing typically varies based on team size, features needed, and support level.

💡 Recommendation: Contact sales for a custom quote based on your specific requirements.

View Pricing Details →

Frequently Asked Questions About Datagaps DataOps Suite

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Final Verdict

Try It Yourself

Datagaps DataOps Suite is a solid testing tool with good capabilities. The steeper learning curve is offset by its advanced capabilities for complex testing scenarios.

✅ Best For:

  • • Gartner-recognized specialist in Data Pipeline Test Automation
  • • Comprehensive end-to-end data testing automation
  • • AI-powered features for test data generation and anomaly detection

⚠️ Consider If:

  • • Enterprise pricing may be high for small teams
  • • Complex setup for advanced features
  • • Requires training for optimal usage
Try Datagaps DataOps Suite Now →Compare Alternatives

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