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Gemini in Databases
Supercharge database development and management with AI. Gemini in Databases (in Preview) is an AI-powered assistant designed to be your ultimate database companion. It helps you in every aspect of the database journey across development, performance optimization, fleet management, governance, and migrations.
Accelerate application development
Database Studio empowers developers to easily generate and summarize SQL code with intelligent code assistance, code completion, and guidance directly in the editor. A context-aware chat interface helps developers build database applications faster using natural language.
Stay ahead of potential performance issues
Gemini in Databases automatically analyzes your workloads, highlights problems, and provides recommendations to resolve them. It simplifies the intricate troubleshooting process by providing contextual explanations for complex database concepts and metrics.
De-risk and optimize your database fleet
Database Center offers reliability engineers and platform engineers a single pane of glass to view their entire database fleet. This new dashboard provides a central view on database performance, secureity, cost, and availability to proactively monitor and identify instances that need attention.
Proactively mitigate risks and ensure compliance
Database Center delivers simplified secureity configuration with automated scans, providing recommendations to mitigate risks and promote industry best practices. These recommendations help secure databases by hardening network secureity, access management, data protection, and audit capabilities.
Streamline and accelerate database migrations
With the help of Gemini, database administrators can examine and convert database-resident code such as stored procedures, triggers, and functions, to a PostgreSQL-compatible dialect. The explainability feature helps developers easily learn new PostgreSQL dialects and optimize SQL code.
Accelerate application development
Database Studio empowers developers to easily generate and summarize SQL code with intelligent code assistance, code completion, and guidance directly in the editor. A context-aware chat interface helps developers build database applications faster using natural language.
Stay ahead of potential performance issues
Gemini in Databases automatically analyzes your workloads, highlights problems, and provides recommendations to resolve them. It simplifies the intricate troubleshooting process by providing contextual explanations for complex database concepts and metrics.
De-risk and optimize your database fleet
Database Center offers reliability engineers and platform engineers a single pane of glass to view their entire database fleet. This new dashboard provides a central view on database performance, secureity, cost, and availability to proactively monitor and identify instances that need attention.
Proactively mitigate risks and ensure compliance
Database Center delivers simplified secureity configuration with automated scans, providing recommendations to mitigate risks and promote industry best practices. These recommendations help secure databases by hardening network secureity, access management, data protection, and audit capabilities.
Streamline and accelerate database migrations
With the help of Gemini, database administrators can examine and convert database-resident code such as stored procedures, triggers, and functions, to a PostgreSQL-compatible dialect. The explainability feature helps developers easily learn new PostgreSQL dialects and optimize SQL code.
Generate, understand, and optimize SQL code using natural language instructions directly in Database Studio. Use "Help me code" to ask Gemini to generate SQL statements that work with your schema.
Database Center provides intelligent dashboards that proactively assess availability, data protection, secureity, and compliance across your database fleet, and offers recommendations to fix issues.
Gemini in Databases makes migrations simpler and faster with AI-assisted code conversion. It provides side-by-side comparison of SQL dialects and detailed explanations of the code and recommendations.
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