Best Data Deduplication Software for PostgreSQL

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.

The Flowcore platform provides you with event streaming and event sourcing in a single, easy-to-use service. Data flow and replayable storage, designed for developers at data-driven startups and enterprises that aim to stay at the forefront of innovation and growth. All your data operations are efficiently persisted, ensuring no valuable data is ever lost. Immediate transformations and reclassifications of your data, loading it seamlessly to any required destination. Break free from rigid data structures. Flowcore's scalable architecture adapts to your growth, handling increasing volumes of data with ease. By simplifying and streamlining backend data processes, your engineering teams can focus on what they do best, creating innovative products. Integrate AI technologies more effectively, enriching your products with smart, data-driven solutions. Flowcore is built with developers in mind, but its benefits extend beyond the dev team.

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.