Fuzzy Matching Software
Quickly and accurately clean data and remove duplicates using world-class fuzzy matching. Best in class data quality suite for data cleansing, standardization, matching, and record merging.
You can visually score matches, assign weights, and group non-exact matches using advanced deterministic and probabilistic matching techniques, further improved with proprietary fuzzy matching algorithms.
Experience best-in-class matching with a solution that beats IBM and SAS in speed, accuracy, and ease-of-use in 15+ independent studies.
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Customer Stories
See what our customers say...
It’s not just the software which works very well for us, but the focus and knowledge that Data Ladder brings to the table
Thanks to Data Ladder we successfully cleaned up and matched our internal sales file with new leads, greatly improving efficiency and sales.
We could not do these reports before. Now, DataMatch has become a main staple in my suite of tools that I work with
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Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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What’s New in DataMatch Enterprise: REST API, Docker Deployment, and a Rebuilt Matching Engine
Last Updated on September 7, 2026 DataMatch Enterprise just shipped a REST API, a containerized deployment, and a rebuilt matching engine. In internal testing, the
Build vs. Buy Entity Resolution: What’s the Better Option for Your Team?
Last Updated on August 7, 2026 Entity resolution is the process of identifying which records across one or more systems refer to the same real-world
What’s New in DataMatch Enterprise: REST API, Docker Deployment, and a Rebuilt Matching Engine
Last Updated on September 7, 2026 DataMatch Enterprise just shipped a REST API, a containerized deployment, and a rebuilt matching engine. In internal testing, the
Build vs. Buy Entity Resolution: What’s the Better Option for Your Team?
Last Updated on August 7, 2026 Entity resolution is the process of identifying which records across one or more systems refer to the same real-world
Deterministic vs. Probabilistic Matching: When to Choose Each Data Matching Type
Last Updated on August 6, 2026 Deterministic matching links two records only when specified fields agree exactly, like an identical account number. Probabilistic matching links