Best Data Matching Software for Databricks

DataBuck is an AI-powered enterprise data matching software that automates the comparison and reconciliation of records and datasets in different systems, databases, and clouds. The software’s powerful matching capabilities include schema reconciliation, primary and composite key matching, fuzzy matching, record linkage, aggregate matching, and row- and cell-level source-to-target validation and comparisons. Unlike most data matching tools, which simply show general percentages of matching and non-matching data, DataBuck analyzes the data sets at the lowest level: individual cells. This way, it helps users identify which records and cells match or mismatch so they can take corrective measures. The tool was designed to solve complex cloud migration and data warehousing challenges, such as ensuring smooth data migration and modernization, ELT/ETL reconciliation, and multi-cloud and multi-platform comparisons. AI-powered mapping reduces the need for manual comparisons of complex data.