SQL Server Data Quality

Data Quality and Enhancement Transforms for SQL Server Integration Services (SSIS), Now Available on Azure Data Factory

Melissa’s Data Quality Components for SSIS offer a powerful suite of global data quality and enrichment tools designed to integrate seamlessly with Microsoft’s SQL Server Integration Services—whether deployed on-premises or in the cloud via Azure Data Factory.

Learn More

What We Do

Empower Organizations To Cleanse, Validate, Standardize and Enrich Data

Available 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.
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.

Microsoft Fabric Compatibility

Modernize your data workflows with Microsoft Fabric. Melissa’s cloud APIs can be integrated directly into Fabric notebooks and pipelines to deliver trusted data quality, enrichment, identity verification and compliance capabilities at scale. Whether you are validating customer records, enriching analytics data or automating batch processes, Melissa helps you bring clean, reliable data into your Fabric environment with minimal setup.

Learn More About Melissa + Microsoft Fabric

Melissa Data Quality and Enhancement Tools

Melissa leverages the integration power of SQL Server to provide a full spectrum of data quality with the following:

Profiler

Profiler generates patterns and statistics to identify weaknesses in your data quality process and gain insight into the actual health of your data.

Learn More

Contact Verify

Contact Verify verifies, corrects, and standardizes U.S and Canada postal addresses, email addresses and phone numbers and converts US addresses to roof-top latitude/longitude coordinates.

Learn More

Global Verify

Global Verify verifies, corrects and standardizes postal addresses, email addresses and phone numbers for 240+ countries, plus converts street addresses to precise latitude/longitude coordinates.

Learn More

Personator

Personator verifies identity, validates postal address, email address and phone number, plus updates the current address for a contact and enriches records with missing email, phone, address data and demographic info.

Learn More

MatchUp

MatchUp provides advanced deduping/matching capabilities and survivorship rules to eliminate duplicates and create a single customer view.

Learn More

Fuzzy Matching

Fuzzy Matching compares and matches single and multiple columns using a toolbox of algorithms to identify hard-to-spot similar and duplicate records.

Learn More

IP Locator

Identify geolocation based on IP address

Learn More

Business Coder

Get deeper insights into businesses with detailed demographic data using just a company name and address. Standardize business records, enhance customer profiles and improve lead scoring with valuable firmographic information.

Learn More

SmartMover

SmartMover matches your address records against the USPS NCOA^Link database or Canada Post NCOA database and returns the current address of customers that have moved.

Learn More