Leverages artificial intelligence to suggest SQL queries, explain code, and optimize performance.
Connects to a wide range of SQL databases including MySQL, PostgreSQL, Oracle, and more.
Provides graphical representations of query results with customizable charts and graphs.
Executes SQL queries efficiently and offers tools for performance tuning and analysis.
Allows browsing, editing, and comparing database schemas with ease.
Runs on Windows, macOS, and Linux operating systems.
Manage and monitor multiple databases, perform backups, and handle user permissions efficiently.
Execute complex queries to extract insights, visualize trends, and generate reports for decision-making.
Use AI assistance to learn SQL syntax, debug queries, and improve coding skills interactively.
Create and export detailed reports from query results in formats like PDF or Excel for stakeholders.
Transfer data between different databases with tools for schema mapping and data validation.
Analyze query performance, identify bottlenecks, and optimize SQL for faster execution.
Share connection profiles and query scripts among team members to streamline projects.
Test and debug SQL queries during software development to ensure database integration works correctly.
Transform raw data into charts and graphs for presentations or dashboards without extra tools.
Track database changes, log query history, and generate audit trails for regulatory requirements.
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