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Overview

Key Components

Data Sources

The foundation of the DataDios platform that enables connections to external databases, APIs, files, and other data systems. Data Sources provide the connectivity layer for all data operations, supporting various types including databases (PostgreSQL, MySQL, SQL Server), cloud services (AWS, Azure, Google Cloud), file systems, and AI model integrations. Users can create, configure, import, and manage data source connections with built-in testing and monitoring capabilities.

DataDios SmartDiff

A powerful data validation tool that ensures easy, efficient, and secure validation of migrated data across various platforms. SmartDiff is built on Root Cause Analysis, Clustering, and Data Transformation architecture to enable automated data validation post-migrations. It supports both data source comparisons and file-based validations, providing detailed reports on differences, patterns, and data quality issues.

DataDios Metadata Synchronization

A comprehensive metadata management solution that migrates and synchronizes metadata between any data sources, including databases and data governance systems. It supports all types of metadata and works seamlessly on both on-premises and cloud platforms. The feature includes Smart Delta processing, data lineage visualization, and comprehensive logging for tracking metadata changes over time.

AI Studio

A unified interface that combines SQL execution with GenAI-powered assistance for seamless data exploration and analysis. AI Studio empowers users to interact with enterprise data sources using native SQL syntax while leveraging intelligent AI support for query generation, optimization, and debugging. It features a multi-tab SQL editor, natural language to SQL conversion, and integrated chat assistance for both technical and business users.

Getting Started

To begin using DataDios:

  1. Assessment - Evaluate your current data landscape and requirements
  2. Data Source Setup - Configure connections to your databases, APIs, and file systems
  3. Planning - Design your data migration, validation, or synchronization strategy
  4. Configuration - Set up workflows for your specific use cases:
    • Configure SmartDiff for data validation projects
    • Set up Metadata Sync workflows for schema synchronization
    • Prepare AI Studio for data exploration and analysis
  5. Execution - Run your workflows:
    • Execute data validation comparisons with SmartDiff
    • Run metadata synchronization processes
    • Perform data analysis using AI Studio's SQL editor and AI assistant
  6. Monitoring - Track progress and review detailed reports across all modules
  7. Optimization - Fine-tune processes based on results, patterns, and performance metrics