Best Data Deduplication Software for SQL Server

WinPure is a leading data quality software company helping organisations transform inaccurate, inconsistent and duplicate data into reliable, trusted information. The award-winning WinPure Clean & Match Enterprise combines data profiling, cleansing, standardisation, validation, matching, deduplication, entity resolution and golden record creation in one user-friendly solution. Business and technical users can improve data from CRM, ERP, databases, spreadsheets and other systems without writing code. WinPure combines configurable exact, fuzzy and phonetic matching with Match AI, automated data quality insights and explainable results. The software can be installed on-premises or within a customer-controlled cloud environment, helping sensitive data remain under the organisation’s control. WinPure supports data migrations, CRM consolidation, master data management, compliance, analytics and AI-readiness projects across commercial and public-sector organisations.

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.

Nucleus is a data management platform designed to streamline and automate the handling of customer and operational data across various systems. It enables users to connect and link similar records through smart matching, utilizing exact and fuzzy matching techniques with customizable auto-match thresholds. It allows for the definition of trigger-based rules to automatically address data conflicts, duplications, and the emergence of new or missing records, ensuring consistent and reliable data across integrations. Nucleus supports the development of automations that update or send notifications based on detailed contact and revenue criteria, aiding in the maintenance of a comprehensive data strategy. It also facilitates the management of data loading and large-scale updates, aligning with multiple integration sources.

The latest version of DBIntegrate is now available for download; V.3.0.3.7. This release includes enhancements to CDC, and new features for data de-duplication to help make it easier for users to identify matches. CDC can now also write to a flat-text file on disconnection from the message queue, this file is then read back in to the message queue when it is next available prior to any new messages, this ensures that messages are still sent to the target data source in sequence. The Flat-text file option can also be used as the default CDC option, such as to allow overnight batch file imports into another system. A log loader mechanism is installed alongside this latest release which enables the files to be loaded via the command line utility. DBIntegrate can now write de-duplication merge scores to the DBI_WORK temporary tables. The record that is the master record can also be displayed under a DBI_RecordMerged column.