An EDW automation platform to meet the end-to-end ETL testing needs.

DataVision+ is an automated solution designed to meet the needs of EDW testing starting from data migration, test data management to data comparison across different sources on both On-Prem and Cloud environments. This Solution also has the capability to synchronize metadata, perform schema level verification and generate queries automatically. Additionally the solution can also test the Crystal reports and Big Data (on hive).


Schedule: Schedule your test plans anywhere, anytime either through a robust web-based interface or a mobile app.

Testing Coverage: Manage the complete EDW testing life cycle starting from test designing through execution, reporting, and analysis.

Reporting and Dash boarding: Capability to compare both structured and unstructured data; row-level comparisons or full tuple-level with natural-key resolution; test plan summary and detail reports and dashboards.

User-Friendly Design: Responsive and customizable Auto Test Query generation for test cases, especially for Big Data testing.

Low Cost of Deployment: Open Source technology stack and cloud-enabled; flexible, customized license models; low cost of ownership due to scalable, modular architecture.

Test Data Management: Create, maintain and provision production-like test data needed to just-in-time test mission-critical applications. This feature uniquely combines elements of data sub-setting, masking, refresh and synthetic, on-demand data generation.


The ability of DataVision+ to provide an enhanced level of automated testing and validation can help ensure the data complies with business requirements and provides the necessary insights for executives to make strategic decisions. By significantly reducing the time, cost, and resources required for various “data testing” needs such as data warehousing or data migration testing, DataVision+ can bring immense business benefits to you.

  • 100% data verification up to 1,000x faster

  • 60% reduction in test cycle time

  • Dual compatibility with structured/unstructured data

  • Execution flexibility on Mobile, Cloud and On-premise

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