Oct 19, 2026 - Sean Michael Kerner at VentureBeat
Decision models like Jev handle what SQL rules cannot. Here's how data teams use them
Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables on a shared ID. A pipeline sends a failed job down a retry path. Rules like these work when the answer sits in the data in a clean form. MotherDuck, which sells a cloud service built on DuckDB, added a prompt_jev() SQL function to its paid plans. One example in its announcement pulls the main complaint from a table of support transcripts. On a company benchmark of 100,000 news articles from a public four-topic data set, MotherDuck reported that Jev labeled the rows in 40 seconds for 50 cents at 89% accuracy. An OpenAI model scored 88% in nearly 32 minutes at $37.58, according to MotherDuck.
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