Google wants Gemini, its family of generative AI models, to power its app database in a way.
Google announced the public preview of Gemini in Databases at its annual Cloud Next conference in Las Vegas. This is a collection of features supported by Gemini to “simplify all aspects of database migration,” as the company advertises. In less technical terms, Gemini in Databases is a bundle of AI-powered, developer-focused tools for Google Cloud customers creating, monitoring, and migrating app databases.
One of Gemini in Databases is Database Studio, an editor for Structured Query Language (SQL), the language used to store and process data in relational databases. According to Google, Database Studio, built into the Google Cloud console, can generate, summarize, and fix specific errors in your SQL code, in addition to providing general SQL coding suggestions through a chatbot-like interface. That's what it means.
Joining Database Studio under the Gemini in Databases brand will enable AI-assisted migrations with Google's existing Database Migration Service. Google says its Gemini model can transform database code and provide explanations and recommendations for those changes.
Google's new Database Center, another component of Gemini in Databases, also lets users interact with databases using natural language and manage database fleets with tools to assess availability, security, and privacy compliance. can. Additionally, if something goes wrong, users can ask the Gemini-powered bot to provide troubleshooting tips.
“With Gemini in Databases, our customers can easily generate SQL. Additionally, they can now manage, optimize, and govern their entire database from a single pane of glass. And finally, with AI-assisted code transformation, Accelerate database migration,” Andi Gutmans, general manager of databases at Google Cloud, said in a blog post shared with TechCrunch. “Imagine being able to ask questions like, 'Which production database in East Asia was missing a backup in the past 24 hours?' or 'How many PostgreSQL resources do you have that are higher than version 11?' Gain instant insight into your entire database. ”
Of course, this assumes that Gemini models don't make mistakes from time to time, but that's no guarantee.
In any case, Google continues to move forward by bringing Gemini to its business intelligence tool Looker as well.
Looker's Gemini is launching in private preview, allowing users to “chat with your business data,” as Google explains in a blog post. Looker's Gemini is integrated with Workspace, Google's suite of enterprise productivity tools, and covers features such as conversation analysis. Generate reports, visualizations, and expressions. Automatic generation of Google Slides presentations.
I'm interested to see if Looker's report and presentation generation Gemini works reliably. After all, generative AI models don't exactly have a reputation for accuracy, which can lead to embarrassing and even mission-critical mistakes. With any luck, we'll find out if Cloud Next continues this week.
Gemini in Databases could be perceived as a response of sorts to top rival Microsoft's recent announcement of Copilot in Azure SQL Database. Copilot brings generative AI to Microsoft's existing fully managed cloud database service. Aiming to stay ahead of the emerging AI-driven database race, Microsoft has also been working to build generative AI using Azure Data Studio, its set of enterprise data management and development tools. .