Navicat Data Modeler 3 for Pc

1. Using a step-by-step wizard, you can import existing database structures and create models from different sources such as MySQL, MariaDB, SQL Server, PostgreSQL, Oracle, SQLite, and even from an ODBC data source.

2. Navicat Data Modeler allows users to visually design database structures, perform reverse/forward engineer process, import table structures from ODBC data sources, generate SQL files and print models to files, etc.

3. With the forward engineering feature, your visual data model can be transformed into a physical database on any servers supported by Navicat Data Modeler - MySQL, MariaDB, SQL Server, PostgreSQL, Oracle and SQLite.

4. With Navicat Data Modeler's features, users can easily create high quality data models and understand database structures.

5. Navicat Data Modeler is a powerful and easy-to-use database design tool for creating and manipulating data models.

6. Navicat Data Modeler 2.1 enhances communication and collaboration between business and information-technology professionals by providing the ability to design conceptual, logical, and physical models.

7. The resulting models graphically show the structure of a database so that you can see and organize data elements, such as tables, views and relations without showing the actual data.

8. It supports various database systems, including MySQL, MariaDB, Oracle, SQL Server, PostgreSQL and SQLite.

9. A well-designed model increases both efficiency and data quality, and can be easily understood by a wide variety of audiences.

10. You can also compare your model with a live database to capture the differences in objects and properties, so that you can get a full analysis before expanding and upgrading your existing system.

11. With the reverse engineering feature, you can create models from existing databases with just a few simple clicks.

12. Liked Navicat Data Modeler 3? here are 5 Developer Tools apps like SQLPro Studio database client; TablePlus - Database Client; Netdata server monitoring; Geocaching Datalogger; GitHub;