Google wants its family of generative AI models, Gemini, to power your app's databases – literally.

At its annual Cloud Next conference in Las Vegas, Google announced the public preview of Gemini in Databases, a collection of features underpinned by Gemini to — as the company pitched it — "simplify all aspects of the database journey." In less jargony language, Gemini in Databases is a bundle of AI-powered, developer-focused tools for Google Cloud customers who are creating, monitoring and migrating app databases.

One part of Gemini in Databases is an SQL editor to store and process data in relational databases. Database Studio, included within the Google Cloud console, can generate, summarize-and even fix errors in-SQL code, Google said, besides making general coding suggestions through a chatbot-like interface.

In terms of the Databases brand, the company has joined AI-assisted migrations under Gemini with Google's existing Database Migration Service. According to Google, the Gemini models can translate database code and explain the changes made along with recommendations.

Elsewhere in Google's new Database Center, its seventh Gemini in Databases building, users will be able to work with databases in plain old language and have tools to monitor a set of databases that can check things such as availability, security compliance, and privacy compliance. And when things go bad, they'll be able to ask a Gemini-infused bot for the best available advice on getting things right.

"Gemini in Databases enables customer to easily generate SQL; additionally, they can now manage, optimize and govern entire fleets of databases from a single pane of glass; and finally, accelerate database migrations with AI-assisted code conversions," Andi Gutmans, GM of databases at Google Cloud, wrote in a blog post shared with TechCrunch. "Imagine being able to ask questions like 'Which of my production databases in east Asia had missing backups in the last 24 hours?

' or 'How many PostgreSQL resources have a version higher than 11?

' and getting instant insights about your whole database fleet."

That would assume, of course that the Gemini models don't make mistakes from time to time — which is no guarantee.

Still, Google is marching on, now even to its business intelligence product Looker.

In the latter, Gemini has launched its private preview and enables customers to "talk with their business data," in a blog post words from Google. It's in the entire suite of the suite for enterprise productivity Workspace: within it, there's everything: conversational analytics by Gemini in Looker takes care of the reporting, visualization, generating formula and auto-generating the presentations directly in Google Slides. So would the report and presentation generation using Gemini in Looker actually work? The reputation of Generative AI models for accuracy doesn't exist, so mistakes could easily become embarrassing, even mission-critical. We'll see if our luck continues as Cloud Next moves into the rest of the week. Gemini in Databases might be seen somewhat as a reaction to a new Copilot announced not long ago for Azure SQL Database by the top competitor of Microsoft. This should bring generative AI capabilities to the already existing, fully managed cloud database service. The race for databases driven by AI is just not old yet, and what's trying to be the first in that race here is Microsoft - building, besides the general Copilot announced a couple of days ago, its own generative AI too, now with Azure Data Studio, its set of enterprise data management and development tools.