SQL Server Data Quality

What We Do

Empower Organizations To Cleanse, Validate, Standardize, And Enrich Data

throughout both traditional and cloud-based integration workflows—delivering actionable intelligence for better decision-making.

• Enhance Data Integrity – Cleanse, standardize, and validate data to improve accuracy and maintain a single source of truth.
• Global Data Quality – Validate names, addresses, emails, and phone numbers data worldwide.
• Advanced Data Matching & Deduplication – Use fuzzy matching and rule-based deduplication to eliminate duplicates and improve accuracy.
• Seamless Integration – Works on-premises and in the cloud for efficient high-volume processing.
• Regulatory Compliance – Ensure data meets GDPR, CCPA, AML, KYC, and USPS® standards for compliance and security.

Azure Data Factory Compatibility

Take your data quality workflows to the cloud with full support for Azure Data Factory. Melissa’s SSIS components run natively on Azure’s SSIS Integration Runtime (SSIS IR), bringing the same powerful data cleansing and enrichment capabilities to your cloud pipelines.

Whether you’re migrating existing packages or building new ones, Melissa makes the transition smooth with minimal changes required. All familiar components can be deployed within your Azure environment, delivering consistent, accurate, and reliable data across your systems.

• Easy Deployment - All Melissa's components work seamlessly on Azure Data Factory.
• Simple Setup: Follow our step-by-step guidance and custom scripts for quick ADF environment setup.
• Effortless Migration - Existing SSIS packages using Melissa components work with minimal changes.
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  Optimized Cloud Performance - Automate data cleansing and enrichment in Azure for faster, more accurate, and consistent results.
• Enterprise-Scale Processing: Take advantage of Azure’s cloud scalability to handle high data volumes with speed and reliability.
• Leverage Your Investment - Continue using your existing SSIS knowledge and Melissa components.