The community behind Zingg

Zingg helped us turn messy, inconsistent campaign finance data into a unified view of political money in North Carolina—something that wasn’t possible before. Its smart entity resolution, built on Spark, handled scale and complexity with ease. What sets Zingg apart is not just the product, but the community: fast support, active contributors, and constant improvements. If you're tackling
large-scale identity resolution, Zingg is a game-changer.

If you're facing a fuzzy matching or entity resolution challenge, try Zingg before building in-house or buying expensive software—seriously. Its interactive labeling with SMEs is unmatched in open source, the ML models just work, and Spark ensures it scales. I've seen Zingg deliver fast, accurate results across Public Sector, HLS, Retail, and FinServ. We'll be using it even more on Databricks,for everything from Customer 360 to M&A and churn-risk.