Match millions of records in seconds. Link duplicates, resolve entities, and connect variations. Get confidence scores, match groups, and verified golden records automatically.
Start Data Matching Now.avif)
.avif)
.avif)
.avif)
.avif)
%20All%20Options.avif)
Match records within and across data sources. See exact matches, near-duplicates, and variations with match scores.
Spot when Jon Smith, John Smith, and J. Smith are the same person. Catch typos, abbreviations, and format issues.
Get confidence scores from 0-100% for every match candidate. Know which matches are certain and which need review.
“As part of the journey we’ve gone through with Matchlogic, we’re becoming more data-first, moving from assumption to assurance around data quality.”
Compare every record against millions simultaneously using probabilistic algorithms. Get match scores for exact matches, fuzzy variations, and phonetic similarities. One scan links all related records systematically.
Identify match patterns and group related records automatically. Fuzzy algorithms catch typos and variations, phonetic matching finds sound-alikes. Pattern recognition links records that belong together instantly.
See which records match and why with field-by-field comparisons. View confidence scores for every potential link. Character analysis shows where variations occur. Every match gets visual breakdown for informed decisions.
Schedule matching runs hourly, daily, or triggered by data loads. Track duplicate trends automatically. Get alerts when match rates spike or new duplicates appear. Monitor data quality continuously without manual effort.
See your duplicate reality in seconds. matchlogic compares every record across all systems simultaneously, revealing match groups, confidence scores, and field comparisons. Know exactly which records link and why.
Get match groups for every linked record instantly. See which entries connect and which systems have the most duplicates consistently.
Transform inconsistent formats into uniform patterns. Phone numbers, dates, addresses all follow your defined standards. Every variation gets corrected automatically.
Identify which fields are 40% empty and killing match accuracy. Know which systems skip required data and what percentage of records are incomplete.
Find connections between records across datasets. Discover where the same entity exists with variations across different data systems.
Get hard metrics on actual match quality. matchlogic calculates confidence scores, match reasoning, and field comparisons for every potential link. Track match rates to prove improvement or catch duplicate growth early.
Every record pair gets scored for match likelihood based on multiple fields. Know which matches are certain for auto-merge and which need review.
Apply the same standardization rules across CRM, ERP, and warehouse data. Ensure consistent formats regardless of source system. Unify data from everywhere.
Get probability scores showing match confidence. Low-confidence matches get flagged for review before they create wrong merges or data loss.
Mask sensitive data using pattern transformations. Standardize PII handling across all systems. Meet GDPR, HIPAA, and CCPA requirements with consistent rules.
Get comprehensive match reports instantly. matchlogic generates confidence scores, match reasoning, and field comparisons for every link. Export match groups as CSV, JSON, or detailed reports. Filter results by confidence level, match type, or source system.
Detailed reports show which records match, confidence scores, and field-by-field comparisons for every link. Export findings with specific examples and merge recommendations.
See how each field compares for every match candidate. Name variations, address differences, format mismatches shown clearly. Match reasoning explains why records link
See which matches hit high confidence and which need review. Score distributions reveal matching patterns. Threshold analysis helps tune match rules for precision.
Schedule matching to run hourly, daily, or triggered by data loads. matchlogic monitors duplicates continuously without manual intervention. Get alerts when duplicate rates exceed thresholds or quality drops.
Embed matching directly in your data pipelines. Every new data load gets matched automatically. Catch duplicates before they hit production systems.
Define rules once and apply across all current and future data. Same configurations work for new sources. Never rebuild standardization logic from scratch.
First profile revealed 40% missing data and format chaos we never suspected. Helped us fix issues before migration.
Profiling showed our 'clean' vendor data was 28% duplicates. Found $3M in duplicate payments in minutes.
We profile before every project now. Reveals quality issues that would break analytics. Saves weeks of cleanup.
Not assumptions or guesses. Upload your data and see match groups, confidence scores, and duplicate counts instantly.
Find Duplicates In Your Data
Matching instantly shows exact duplicate counts, fuzzy variation groups, and confidence scores for every potential link. You'll see where 'McDonald's' appears as 'McDonalds' and 'Mc Donald's', which systems create the most duplicates, and which records are likely matches. Visual match groups highlight connected records across all your systems.
matchlogic matches 10 million records in under 8 minutes, maintaining the same speed whether comparing thousands or billions of records. The engine analyzes every field, calculates match scores, groups related records, and generates visual reports without performance degradation.
Most companies discover 25-35% duplicate records they never knew existed. The average first match uncovers thousands of hidden duplicates costing real money. Matching reveals duplicates hiding behind misspellings, abbreviations, and format differences your team would never catch manually.
Exact matching only finds identical values - missing duplicates with any variation. Fuzzy matching uses algorithms to score similarity, catching 'Jon Smith' matching 'John Smith' at 92% confidence. You'll find typos, nicknames, abbreviations, and format differences. This reveals the 30% of duplicates that exact matching misses.
Yes - schedule matching hourly, daily, weekly, or triggered by data loads via API. Embed matching directly in your data pipelines to catch duplicates before they hit production. Set threshold alerts for when duplicate rates exceed limits or match quality drops. Automated matching keeps constant watch without manual intervention.
Matching automatically finds duplicate customer records, scattered PII, and data inconsistencies that create compliance risks. It identifies records that should be linked for GDPR right-to-erasure requests, catches duplicate entries violating data minimization rules, and documents match evidence for audits - turning compliance panic into compliance proof.
.svg)
