Turn natural language into complex SQL queries across 100+ database engines with enterprise-grade security.
DBeaver AI SQL is the intelligence-augmented evolution of the industry-standard DBeaver database management tool. As of 2026, it serves as a central hub for Lead AI Architects and DBAs to manage heterogeneous data environments including SQL, NoSQL, and Vector databases. The technical architecture leverages a pluggable AI backend, allowing users to connect DBeaver directly to OpenAI's GPT-4o, Google Gemini, or local models via Ollama to maintain data sovereignty. Unlike standard SQL editors, DBeaver AI understands schema metadata, foreign key relationships, and data distributions to generate context-aware code rather than generic templates. Its market position is unique as it bridges the gap between open-source flexibility and enterprise-grade security features like RBAC and data masking. By integrating AI directly into the ER diagram and query execution pipeline, it reduces the 'time-to-insight' for complex data joining tasks by an estimated 70%. The platform supports over 100 drivers, making it the most versatile AI-enabled database IDE for multi-cloud and hybrid-cloud deployments in 2026.
DBeaver AI SQL is the intelligence-augmented evolution of the industry-standard DBeaver database management tool.
Explore all tools that specialize in sql query optimization. This domain focus ensures DBeaver AI SQL delivers optimized results for this specific requirement.
Uses LLMs to automatically identify and map corresponding fields between two disparate database schemas for migration.
Allows the SQL editor to use locally hosted models to prevent sensitive schema data from leaving the corporate network.
Combines a drag-and-drop interface with AI suggestions to build queries without writing any code.
Uses AI to generate statistically accurate but fake datasets based on existing table structures for testing.
Translates complex execution plans and nested joins into plain English explanations.
Toggle between GPT-4, Claude, and Gemini within the same interface for query cross-validation.
AI-assisted generation of real-time monitoring charts from SQL execution statistics.
Download and install DBeaver PRO or Enterprise Edition.
Initialize a new database connection using the appropriate JDBC driver.
Navigate to 'Window' > 'Preferences' > 'AI Assistant'.
Select your AI Service Provider (OpenAI, Gemini, or Custom/Local).
Enter your API Key or endpoint URL for the selected LLM.
Enable 'Metadata sharing' for specific schemas to allow the AI to understand table structures.
Open a new SQL Editor and click the 'AI' icon in the toolbar.
Input a natural language prompt (e.g., 'Find all users who joined in 2025 and have active subscriptions').
Review the generated SQL code for logic and performance.
Execute the query and export results to the desired format.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its massive database support and reliability. AI features are considered a major productivity boost, though users note that metadata sharing must be configured correctly for best results."
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The universal database tool supercharged with AI for predictive SQL generation and schema intelligence.
State-of-the-Art Mixture-of-Experts Coding Intelligence at 1/10th the Cost of GPT-4.
Design, document, and build APIs faster.
Digital developers who are actually easy to work with.
Open Source LLM Engineering Platform
The Open-Source Framework for Reinforcement Learning in Quantitative Finance.
