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SmartDiff

Overview​

DataDios SmartDiff is a comprehensive data validation solution that ensures easy, efficient, and secure validation of migrated data across private and public cloud platforms. Built on Root Cause Analysis, Clustering, and Data Transformation architecture, SmartDiff enables automated data validation post-migrations, cause analysis, and pattern recognition.

Key Features​

Validate, Cause Analysis, Identify Pattern​

SmartDiff addresses significant organizational concerns including data mess, data automation, and data validation by detecting the cause or patterns of invalid data post-migration. Unlike expensive migration tools that often result in failed jobs, missed deadlines, and exceeded budgets, SmartDiff provides comprehensive validation capabilities.

Flexible Multi-Platform Data Validation​

SmartDiff provides a balanced, multi-cloud strategy encompassing private, public, and hybrid cloud environments. It offers:

  • Easy, efficient, and secure data validation across platforms
  • Automated data validation post-migrations
  • Cause analysis and pattern revelation
  • Data transformation rule application
  • Elimination of multiple standalone tools

Cost Efficiency​

  • Low-cost, easy-to-use solution that can be installed anywhere
  • Completes migration projects within budget
  • Automatically migrates data between sources
  • Avoids installation of expensive standalone tools

Easy-to-Use Interface​

  • User-friendly graphical interface (GUI) with step-by-step guidance
  • Wizard-like experience with built-in capacity analysis
  • Simplifies large and complex validation processes
  • Identifies data issue patterns effectively

Optimization Capabilities​

  • Complete granular and programmatic control over migrated data
  • Automated approach allows data issue fixing during migration
  • Reduces costs and project time
  • Minimizes downtime during migration projects

Meeting Deadlines​

  • Automation reduces time spent by employees and contractors
  • Eliminates need for multiple migration products or custom scripts
  • Streamlines the entire validation process

Benefits​

  • Easy-to-use Experience: Wizard-like interface for post-migration data validation with intuitive GUI
  • Pattern Understanding: Data issue pattern recognition using clustering mechanisms
  • Seamless Connectivity: Various data sources and files can be connected for validation
  • One-Stop Solution: Root Cause Analysis, Clustering, and Data Transformation architecture
  • Focused Validation: Metadata filtering to speed up migration processes
  • Increased Flexibility: Data transformation rules and metadata filtering capabilities
  • High Success Rate: Industry's highest rate of successful data validation
  • Parallel Processing: Run multiple jobs simultaneously for faster completion
  • Scalability: Accelerate large and complex migrated data validation

Supported Data Sources​

SmartDiff supports any kind of data source including:

  • Cloud-based managed services
  • On-premises databases
  • File-based systems
  • Hybrid environments

How to Use SmartDiff​

Best Practices​

Before Starting​

  • Ensure proper connectivity to all data sources
  • Verify data source permissions and access rights
  • Plan key column mapping strategy
  • Identify critical tables and files for validation

During Execution​

  • Monitor progress through the live reporting interface
  • Use filtering options to focus on specific difference types
  • Take advantage of clustering capabilities for pattern recognition
  • Document any unexpected patterns or issues

After Completion​

  • Export detailed reports for documentation
  • Analyze patterns to improve future migrations
  • Share findings with stakeholders
  • Use insights to optimize subsequent validation processes

Troubleshooting​

Common Issues​

  • Connection Problems: Verify data source connectivity and credentials
  • Key Column Mapping: Ensure selected key columns exist in both source and target
  • Performance Issues: Consider filtering metadata to improve processing speed
  • File Format Issues: Verify CSV/XML file formatting and encoding