Compare the Top Data Deduplication Software in the UK as of April 2026

What is Data Deduplication Software in the UK?

Data deduplication software enables organizations to eliminate duplicate data from a data set in order to reduce the amount of redundant data in a dataset and reduce storage costs and utilization, as well as improve data quality. Compare and read user reviews of the best Data Deduplication software in the UK currently available using the table below. This list is updated regularly.

  • 1
    WinPure Clean & Match
    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.
    Starting Price: $999
  • 2
    Senzing

    Senzing

    Senzing

    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.
  • 3
    DataGroomr

    DataGroomr

    DataGroomr

    Deduplicate Salesforce the Easy Way. DataGroomr leverages Machine Learning to detect duplicate Salesforce records automatically. Duplicate records are loaded into a queue for users to compare records side-by-side, select which values to retain, append new values and merge. DataGroomr has everything you need to find, merge and get rid of dupes for good. No need to set up complex rules, DataGroomr's Machine Learning algorithms do the work for you. Conveniently merge duplicate records as-you-go or merge en masse, all directly from within the app. Select field values for master record or use inline editing to define new values as you deduplicate. Don't want to review org-wide duplicates? Define your own dataset by region, industry or any Salesforce field. Leverage the import wizard to deduplicate, merge and append records while importing to Salesforce. Set up automated duplication reports and mass merge tasks at a frequency that fits your schedule.
    Starting Price: $99 per user per year
  • 4
    DQE One
    Customer data is omnipresent in our lives, cell phones, social media, IoT, CRM, ERP, marketing, the works. The data companies capture is overwhelming. But often under-leveraged, incomplete or even totally incorrect. Uncontrolled and low-quality data can disorganize any company, risking major opportunities for growth. Customer data needs to be the point of synergy of all a company’s processes. It is absolutely critical to guarantee the data is reliable and accessible to all, at all times. The DQE One solution is for all departments leveraging customer data. Providing high-quality data ensures confidence in every decision. In the company's databases, contact information from multiple sources pile up. With data entry errors, incorrect contact information, or gaps in information, the customer database must be qualified and then maintained throughout the data life cycle so it can be used as a reliable repository.
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