Best Data Matching Software for Linux of 2025

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

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 about people, organizations and their relationships in real time as new data is received. The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc. Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.

OpenRefine, which was formerly known as Google Refine, serves as an exceptional resource for managing chaotic data by enabling users to clean it, convert it between different formats, and enhance it with external data and web services. This tool prioritizes your privacy, as it operates exclusively on your local machine until you decide to share or collaborate with others; your data remains securely on your computer unless you choose to upload it. It functions by setting up a lightweight server on your device, allowing you to engage with it through your web browser, making data exploration of extensive datasets both straightforward and efficient. Additionally, users can discover more about OpenRefine's capabilities through instructional videos available online. Beyond cleaning your data, OpenRefine offers the ability to connect and enrich your dataset with various web services, and certain platforms even permit the uploading of your refined data to central repositories like Wikidata. Furthermore, a continually expanding selection of extensions and plugins is accessible on the OpenRefine wiki, enhancing its versatility and functionality for users. These features make OpenRefine an invaluable asset for anyone looking to manage and utilize complex datasets effectively.