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What is Plauti?
Plauti is a data quality platform built natively for CRM, designed for organizations that want tight governance, strong security, and practical control over the accuracy of their customer data. Unlike solutions that move data to external servers or require separate platforms, Plauti runs entirely inside your existing CRM infrastructure, so no data leaves your system and no additional security perimeter is introduced.
For Salesforce customers, Plauti covers the end-to-end data quality lifecycle:
Prevent duplicates at the source: Real-time alerts notify users of potential duplicates as they enter records, helping sales, marketing, and service teams keep data clean from the start.
Protect against hidden duplicates: Detect duplicates created by imports, integrations, and APIs to keep inbound data streams aligned with your standards.
Remediate at scale with batch jobs: Run configurable batch processes to find, review, and merge existing duplicates across large data volumes, with full audit trails that support compliance, internal controls, and reporting.
Verify contact information: Check email addresses and phone numbers before they’re saved to reduce bounce rates, improve campaign performance, and support more reliable outreach.
All of this operates on Salesforce’s own infrastructure, using your existing permissions, roles, and security model. There is no separate user login, no data sync lag to manage, and no additional compliance gap to justify to auditors or security teams.
For Microsoft Dynamics 365, Plauti focuses on robust duplicate prevention and control. Admins can configure real-time alerts, leverage API-based detection, run batch processes, and apply cross-entity matching rules to keep accounts, contacts, and leads aligned and consolidated.
Plauti is built for CRM admins, data stewards, and operations teams who need immediate, self-service control over data quality—without waiting for developers, complex projects, or long IT ticket queues.
What is Melissa Data Quality Suite?
Experts in the field suggest that nearly 20 percent of the contact information held by businesses may be inaccurate, which can result in complications such as returned mail, expenses for correcting addresses, bounced emails, and ineffective marketing and sales efforts. To combat these issues, the Data Quality Suite provides a range of tools designed to standardize, verify, and rectify contact information, encompassing postal addresses, email addresses, phone numbers, and names, thereby promoting effective communication and streamlining business operations. It features the ability to verify, standardize, and transliterate addresses in over 240 countries while utilizing advanced recognition technology to identify more than 650,000 diverse first and last names. Additionally, the suite provides options for authenticating phone numbers and geo-data to ensure that mobile numbers are both active and accessible. It also validates domain names, checks for syntax and spelling errors, and conducts SMTP tests to ensure thorough global email verification. By leveraging the Data Quality Suite, organizations of all sizes can maintain the accuracy and currency of their data, enhancing communication with customers through various mediums, including postal mail, email, and phone interactions. This holistic approach to data quality not only boosts overall business efficiency but also fosters stronger customer engagement and satisfaction. Moreover, as accurate data becomes increasingly vital in a competitive market, businesses that utilize such tools can gain a significant advantage over their rivals.
Integrations Supported
IBM AIX
Microsoft Dynamics 365
Microsoft Excel
Oracle Cloud Infrastructure
Oracle Solaris
Salesforce
Integrations Supported
IBM AIX
Microsoft Dynamics 365
Microsoft Excel
Oracle Cloud Infrastructure
Oracle Solaris
Salesforce
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Plauti
Date Founded
2011
Company Location
Netherlands
Company Website
www.plauti.com/platform
Company Facts
Organization Name
Melissa
Date Founded
1985
Company Location
United States
Company Website
www.melissa.com/data-quality-suite
Categories and Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Management Platforms (DMP)
Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Email Verification
Bulk Email Verification
Catch-all Server Detection
Disposable Email Detection
Domain Check
Mail Server Validation
Single Email Verification
Spam Trap Detection
Syntax Check
Lead Management
Activity Tracking
Campaign Management
Lead Capture
Lead Distribution
Lead Nurturing
Lead Scoring
Lead Segmentation
Pipeline Management
Prospecting Tools
Source Tracking
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Categories and Features
Address Verification
Address Validation
Autocomplete
Automatic Formatting
Data Cleansing
Data Discovery
Data Quality Control
Data Verification
Geographic Maps
Geolocation
Metadata Management
Reporting / Analytics
Search / Filter
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Email Verification
Bulk Email Verification
Catch-all Server Detection
Disposable Email Detection
Domain Check
Mail Server Validation
Single Email Verification
Spam Trap Detection
Syntax Check