Best Data Matching Software for SQL Server

DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world.

WinPure Clean & Match is WinPure’s award-winning data cleansing and data matching software suite, specially designed to increase the accuracy of business or consumer data. This software suite is ideal for cleaning, correcting and deduplicating mailing lists, databases, spreadsheets and CRMs. WinPure™ Clean & Match will help save your business time and money. * Increase the accuracy of virtually ANY list, spreadsheet, database, CRM, etc. * Locally installed Windows software so no need to worry about security as all processing is done on your own systems * Save hours of valuable time cleaning and removing duplicated records from your lists or databases using built-in sophisticated fuzzy and phonetic match algorithms. * Affordable licences available with World Class Support & Training. * Free Demo with Live Online Training available.

Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records into common entities in real time as new data is received. The complete view of all records related to every person or organization, across all of your internal and external data sources, can help you reduce costs and enable new revenue opportunities. Companies use Senzing entity resolution API to provide highly accurate views of people, organizations, and their relationships. You can deploy the Senzing entity resolution API on premises or in cloud-native deployments. Data remains in your ecosystem and never flows to Senzing. A free proof of concept can be completed in one day on AWS or on BareMetal. Senzing makes human-intelligent decisions without any pre-training or pre-tuning.

WinPure™ MDM is a master data management solution that aligns with your business to achieve a single view of your data with functions and features to help you manage your data. The features are ala-carte from all of the clean & match enterprise edition, repurposed specifically for simple web based data prep, and MDM operations. Data in dozens of different formats, dozens of simple and powerful ways to clean, standardize and to transform data. Industry leading data matching and error-tolerant technologies. Simple and configurable survivorship technology. General benefits include lower cost and faster time to market. Simple to use, minimal training and minimal implementation. Better business outcomes, faster MDM or systems deployment. Faster and more accurate batch loads, simple and accessible data prep tools. Flexible and effective interconnectivity with other internal and external database and systems via API. Faster time to synergies for M&A.

The foundation of our matching software, matchit® is designed specifically to deliver results that mirror human-like perception, at scale and without preprocessing. Using Artificial Intelligence, a proprietary phonetic algorithm, lexicons, and a contextual scoring engine, matchit defeats the errors, inconsistencies, and challenges commonly found in contact and business data. Conventional matching solutions require a user to define matching logic, which is a combination of functions and off-the-shelf fuzzy algorithms, used to produce an alphanumeric value. This alphanumeric value, or ‘match key’, forms the basis for comparing two records together and ultimately finding matches. Unlike conventional matching solutions, matchit doesn’t rely on a single comparison between match keys to find a match. Instead, matchit evaluates records contextually, running a variety of comparisons and scoring them individually to grade similarity between all the relevant elements that make up your data.