By way of example, Menninger said, instead of writing “SELECT customer_name FROM customer_table WHERE city in (‘Boston’, ‘Cambridge’)”, a developer using AI Query could give a narrative description of what they were looking for, such as “list all the customers near the Charles River.”
With its new query engine, said Futurum Group’s Shimmin, Google is following the trend of database providers converging database operations with semantic and relational query methodologies to expand capabilities of traditional SQL use cases.
Alongside the query engine, Google is adding the next-generation of AlloyDB natural language capability that is expected to allow developers to query structured data inside AlloyDB, thereby helping them build applications that understands an end user’s natural language input better.