Aqua Data Studio 17.0.12 Multilingual

safi Abdul qayoomJanuary 18, 2024

Aqua Data Studio 17.0.12 Multilingual’s Visual Analytics allows you to analyze data with an easy-to-use drag-and-drop interface. You can pull query results into worksheets to create beautiful visualizations of your data.

Aqua Data Studio 17.0.12 Multilingual Description

Whether you are working with relational, No, SQL, or cloud databases, your data is easily and so quickly accessible with Aqua Data Studio 17.0.12 Multilingual. you can create dashboards by dragging in visualizations from many worksheets and you can save and share them in workbooks with colleagues and customers allowing them to easily navigate and so interact with your data.

Who Uses Aqua Data Studio?

It is used for database management by over 300,000 IT professionals in 98 countries, across Fortune 1000, public enterprises, private companies, and so educational institutions. It is safe and so secure from everything.

Features Of Aqua Data Studio 17.0.12 Multilingual

Multi-Platform Support:
Compatible with Windows, macOS, and Linux, providing a consistent experience across different operating systems.
Database Connectivity:
Supports a broad range of relational databases, including Oracle, Microsoft SQL Server, MySQL, PostgreSQL, SQLite, DB2, Sybase, and more.
SQL Query and Scripting:
Advanced SQL editor with syntax highlighting, auto-completion, and code formatting.
Visual query builder for creating SQL queries graphically.
Query execution and result set visualization.
Database Object Management:
Intuitive interface for managing database objects, including tables, views, indexes, stored procedures, and triggers.
Schema compares and synchronization tools.
Data Visualization:
Interactive visualizations for analyzing and exploring data.
Charting and graphing capabilities for result sets.
Entity-Relationship (ER) diagram tool for visualizing database structures.
Database Administration:
User and security management features.
Backup and restore functionality.
Database monitoring tools for performance analysis.
Data Import and Export:
Import and export data to and from various file formats.
Bulk data import/export capabilities for efficient data movement.
Collaboration and Version Control:
Integration with version control systems such as Git and Subversion.
Collaboration features, including shared queries and reports.
Scripting and Automation:
Automation of common tasks through scripts and macros.
Support for various scripting languages, including SQL, Python, and JavaScript.
Integrated Shell and Terminal:
SQL command-line interface (CLI) for direct interaction with databases.
Integrated terminal for executing operating system commands.
Performance Monitoring and Tuning:
Database performance monitoring tools.
Real-time performance dashboards and diagnostics.
Advanced Query Analyzer:
Visual tools for query optimization and analysis.
Query profiling and execution plans.
Data Compare and Sync:
Compare and synchronize data between two databases or schemas.
Advanced Analytics:
Integration with R for statistical analysis and data visualization.
NoSQL Database Support:
Support for working with NoSQL databases like MongoDB.