DataVision+ awarded "Testing Tool of the Year - 2015" by ITAC & "Best ROI Focused Solution of the Year - 2016" by ISV Awards - it reduces your data validation efforts by 75%


 What are our Clients talking about What are our Clients talking about
  • We have a growing stream of data. How do we manage it?
  • We see rising Business Activity (especially M&A)-how do we integrate data efficiently?
  • How do we solve Report / Query Performance and Right Time Data Availability issues?
  • How do we improve availability of Test Beds, Domain and Data warehouse Testing expertize?
  • How do we ensure to have secure, stable, searchable and readily available test data to improve the test coverage for various scenarios and applications?
  • There is an increased need of Homogeneous and Heterogeneous Migrations across a variety of data warehouses. How do I manage consistent post migration results?
 Automating your Test CycleAutomating your Test Cycle
  • One-stop solution to manage end-to-end EDW testing
  • Single tool to compare distributed, structured data (SQL, Oracle) and unstructured data (Big Data, Teradata)
  • Manages Homogeneous and Heterogeneous Data Migrations from both on-premise & cloud environments
  • Create production like test data by applying masking rules and filters
  • Reduced design time by ~70% with auto query generation
  • Detailed reports, that brings down the results-analysis effort by ~80%
  • Increased reusability of test cases and scripts during regression testing
  • 100% test coverage
  • Cloud-enabled as well as App-based, Trianz DV+ manages Test Plan executions from anywhere, anytime
  • Extended file comparison feature to compare PDF, XML, Excel/CSV, and Word

EDW / BI Test Automation Platform to accelerate
Testing Lifecycle and verify accuracy of data




Trianz, winner of Testing Tool of the Year Award
Trianz, winner of Testing Tool of the Year award & Best ROI Focused Solution of the Year award, is helping clients streamline data comparison process, cut down significant amount of time and resources involved.

Business Outcomes

Reduction in design time with auto query generation Transformation
Reduction in results analysis effort with detailed reports

Regression Coverage for all Data Mart Tables

Reduction in data validation efforts


Reduction in test data creation and management efforts


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