Most companies discover 30-40% duplicate records they never knew existed. Download MatchLogic, connect your data, and see your real duplicate count before lunch.
Records matched
Match accuracy
Time to first profile
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No black-box ML. No months of setup. Just clean, unified data with full visibility into how every duplicate was found.
When Bob Smith matches Robert Smith Jr. you see name similarity (87%), address match (100%), and phone correlation (95%). Adjust any threshold.
When Bob Smith matches Robert Smith Jr. you see name similarity (87%), address match (100%), and phone correlation (95%). Adjust any threshold.
When Bob Smith matches Robert Smith Jr. you see name similarity (87%), address match (100%), and phone correlation (95%). Adjust any threshold.
When Bob Smith matches Robert Smith Jr. you see name similarity (87%), address match (100%), and phone correlation (95%). Adjust any threshold.
When Bob Smith matches Robert Smith Jr. you see name similarity (87%), address match (100%), and phone correlation (95%). Adjust any threshold.
When Bob Smith matches Robert Smith Jr. you see name similarity (87%), address match (100%), and phone correlation (95%). Adjust any threshold.
No consultants. No long onboarding. Connect your data and see real results right away.
Fill out the form, get your download link instantly. Docker-based install runs on any infrastructure in under 5 minutes.
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Upload a CSV, connect to your database, or use our API. Supports SQL Server, PostgreSQL, MySQL, Oracle, and flat files.
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See your duplicate count, quality scores, and format issues instantly. Visual heat maps show exactly where problems hide.
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Configure match rules, see confidence scores for every result, adjust thresholds, and export clean, deduplicated data.
Everything the enterprise version offers, for 14 days.
Scan any volume of records. No row caps during trial.
Fuzzy, exact, phonetic, and custom rule matching.
See exactly which algorithms fired and why for every match.
Export clean data in CSV, connect via REST API, or push to your warehouse.
A matching specialist helps configure your first rules.
First profile revealed 40% missing data and format chaos we never suspected. Helped us fix issues before migration. The transparency of seeing every match rule is what sold our compliance team.
VP Data Governance, Global Logistics Inc.
Profiling instantly shows exact duplicate counts, missing data percentages, format variations, and quality scores for every field. You'll see where "McDonald's" has 20 different spellings, which systems create the most duplicates, and which fields are 40% empty. Visual heat maps highlight problem zones across all your systems simultaneously.
matchlogic profiles 10 million records in under 8 minutes, maintaining the same speed whether scanning thousands or billions of records. The engine analyzes every field, identifies patterns, calculates quality scores, and generates visual reports without performance degradation.
Most companies discover 25-35% duplicate records they never knew existed. The average first-time profile uncovers thousands of hidden duplicates costing real money. Profiling reveals duplicates hiding behind misspellings, abbreviations, and format differences your team would never catch manually.
Yes - profiling gives you potential duplicate percentages and risk scores before you write any matching rules. You'll know exactly how many likely duplicates exist, where they cluster, and which fields have the variations causing problems. This helps you configure match rules based on your actual data patterns, not guesswork.
Yes - schedule profiling hourly, daily, weekly, or triggered by data loads via API. Embed profiling directly in your data pipelines to catch quality issues before they hit production. Set threshold alerts for when duplicate rates exceed limits or quality scores drop. Automated profiling keeps constant watch without manual intervention.
Profiling automatically flags PII in wrong fields, incomplete required data, and audit risks. It identifies records missing mandatory fields, catches format violations, and documents quality scores for compliance reporting. Every profile run creates audit trails showing your data quality status and improvement trends - turning audit panic into audit proof.
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