Data Ladder

Founded by Nathan Krol in 2012

Clean, match, and deduplicate enterprise records across multiple databases

Pricing model

Demo, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Data Ladder to clean, match, and deduplicate large datasets across multiple systems. It profiles incoming data to detect errors, formats addresses against postal standards, and finds matching records using fuzzy and phonetic algorithms. You can link conflicting customer entities without unique identifiers, resolve catalog SKUs, and merge duplicate entries based on custom business rules. It supports automated batch jobs or real-time API integrations, letting teams maintain accurate databases and build a single view of customers, products, and suppliers.

What Data Ladder does

Import datasets from spreadsheets and SQL databasesRun automated data profiling checks on incoming tablesApply fuzzy matching algorithms to identify duplicate recordsVerify street addresses against official postal databasesStandardize abbreviations and format inconsistent data fieldsConfigure survivorship rules to merge redundant entriesExport cleaned records via REST API or batch filesAutomated data profiling reports to detect errors and inconsistenciesFuzzy and phonetic matching algorithms to identify mis-keyed recordsUSPS-certified CASS address verification and ZIP+4 geocodingCustomizable merge and survivorship rules for deduplicationMulti-threaded in-memory processing engine for large datasetsProduct data matching and taxonomy classification for retail SKUsREST API and Docker container deployment for real-time workflows

Pricing breakdown

Pricing model: Book a demo

Frequently asked

Docker

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