This content is currently locked.

Your current McLean & Company subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
+1-877-281-0480 (US/CAN) or
+1-703-544-9513 (International)

Melissa Inc

Melissa Data Quality Suite

Composite Score

8.4 /10

CX Score

8.4 /10

84 Reviews Write a Review

What is Melissa Data Quality Suite?

Melissa Data Quality Suite leverages 35+ years of deep domain expertise in address management, data quality and identity verification to ensure your data is clean, accurate and fit for purpose. Easily validate, parse, standardize, match, and enrich customer data with global address verification, email validation, phone verification and name verification. With flexible on-premise and Cloud/SaaS deployment models, the Data Quality Suite is customizable to every environment and will empower your organization to unlock the full potential of your data.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

Melissa Data Quality Suite won the following awards in the Data Quality category

Filter By

2026 Data Quadrant Champion

2026

0 Top Rated Capabilities

2 Top Rated Features

2026

0 Top Rated Capabilities

1 Top Rated Features

2025

2024 Data Quadrant Champion

2024

0 Top Rated Capabilities

1 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Melissa Data Quality Suite Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Melissa Data Quality Suite.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

89 Likeliness to Recommend

91 Plan to Renew

1
Since last award

83 Satisfaction of Cost Relative to Value

1
Since last award

{y}

{name}

Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+88 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Melissa Data Quality Suite?

3% Negative

11% Neutral

86% Positive

Pros

Respectful
Helps Innovate
Fair
Acts with Integrity

Feature Ratings

Average 83

Automated Data Quality Remediation

100

Data Standardisation

100

Compliance and Audit Logging

100

Structured & Unstructured Data Support

100

Security and Access Control

100

APIs and Integration

100

Dashboard

Data Cleansing

Record Deduplication

Data Profiling

Data Matching

Vendor Capability Ratings

Average 81

Ease of IT Administration

Ease of Data Integration

Business Value Created

Breadth of Features

Usability and Intuitiveness

Quality of Features

Ease of Customization

Vendor Support

Ease of Implementation

Product Strategy and Rate of Improvement

Availability and Quality of Training

Melissa Data Quality Suite Reviews

Role: Information Technology
Industry: Manufacturing
Involvement: IT Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Aug 2025

Melissa Data makes are data better

Likeliness to Recommend

9 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Industry Specific Role
Industry: Not for Profit
Involvement: IT Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Aug 2025

Highly accurate product, little tough to navigate

Likeliness to Recommend

9 /10

Pros

Reliable
Saves Time
Helps Innovate
Continually Improving Product

Godwin N.

Role: Information Technology
Industry: Banking
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Jun 2025

Reliable Data Quality with Room for Cloud Growth

Likeliness to Recommend

9 /10

What differentiates Melissa Data Quality Suite from other similar products?

Melissa Data Quality Suite stands out for its accurate data validation and strong address verification features.

What is your favorite aspect of this product?

My favorite aspect is its precise and reliable address validation.

What do you dislike most about this product?

I don’t like that it has limited cloud integration options.

What recommendations would you give to someone considering this product?

I recommend Melissa Data Quality Suite for accurate validation but suggest checking if cloud features meet your needs.

Pros

Helps Innovate
Trustworthy
Saves Time
Fair

How We Deliver

Events

Melissa Data Quality Suite

What is Melissa Data Quality Suite?

Company Details

Need Assistance?

Awards & Recognition

2026 Data Quadrant Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

Melissa Data Quality Suite Ratings

89 Likeliness to Recommend

91 Plan to Renew

1 Since last award

83 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+88 Net Emotional Footprint

How much do users love Melissa Data Quality Suite?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Automated Data Quality Remediation Automated correction of quality issues using rules, policies, and machine learning, plus approval workflows, with scheduled or event-driven remediation support.

Data Standardisation Enforcement of consistent formats, naming conventions, codes, and taxonomies. Includes parsing, lookup-based standardisation, and industry compliance.

Compliance and Audit Logging Immutable audit logs of quality checks, rule executions, and remediation actions. Supports compliance reporting (GDPR, BCBS 239, SOX, DORA) with evidence.

Structured & Unstructured Data Support Enables data quality management across structured tables, semi-structured formats (JSON, XML), and unstructured content (documents, logs, free text).

Security and Access Control Controls access to data quality processes and sensitive data through role-based permissions, masking, encryption, segregation of duties, and auditing for teams.

APIs and Integration Provides APIs and integration capabilities to connect data quality processes with enterprise applications, data platforms, and workflows.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Melissa Data Quality Suite Reviews

Melissa Data makes are data better

Likeliness to Recommend

Pros

Highly accurate product, little tough to navigate

Likeliness to Recommend

Pros

Godwin N.

Reliable Data Quality with Room for Cloud Growth

Likeliness to Recommend

Pros

Most Popular Melissa Data Quality Suite Comparisons

SAS Viya

Talend Data Fabric

PiLog Data Quality and Governance Suite

Oracle Enterprise Data Quality

IBM InfoSphere QualityStage

SAP Data Services

Schedule Your Call

1
Since last award

1
Since last award

Feature Ratings

Automated Data Quality Remediation

Data Standardisation

Compliance and Audit Logging

Structured & Unstructured Data Support

Security and Access Control

APIs and Integration

Dashboard

Data Cleansing

Record Deduplication

Data Profiling

Data Matching

Vendor Capability Ratings

Ease of IT Administration

Ease of Data Integration

Business Value Created

Breadth of Features

Usability and Intuitiveness

Quality of Features

Ease of Customization

Vendor Support

Ease of Implementation

Product Strategy and Rate of Improvement

Availability and Quality of Training