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EMS SQL Query 2005 for SQL Server 2.2

Business Database ManagementBy EMS Software Development
Type: Shareware Cost: 65.00$ Released: 2006-04-13

 
Rated by: 0 user(s)
Rating: NOT RATED

EMS SQL Query for SQL Server is an utility that lets you quickly and simply build SQL queries to Microsoft SQL databases. Visual building as well as direct editing of a query text is available. User-friendly graphical interface allows you to connect to databases, select tables and fields for a query, set the selection criteria and many more. You can work with several queries at once, edit queries and view the execution results in several modes and perform any other operations you may need in your work with database queries.

Key Features:

- New state-of-the-art graphical user interface;
- Selecting tables and fields for a query visually by drag&drop;
- Possibility of working with several queries in separate windows;
- Registering databases for working with the required databases only;
- Possibility of creating queries with unions and subqueries visually;
- Multiple database connections;
- Advanced printing system;
- Ability to view query plans;
- Ability to create diagrams based on queries;
- History of recently used queries;
- Plenty of useful tools such as data grouping and filtering;
- Syntax highlight, "quick code" and keyboard templates for faster editing query text;
- Fully customizable interface, including interface language.

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EMS SQL Query 2007 for PostgreSQL - EMS SQL Query for PostgreSQL is an utility that lets you quickly and simply build SQL queries to PostgreSQL databases. Visual building as well as direct editing of a query text is available.

EMS SQL Query 2007 for DB2 - EMS SQL Query for DB2 is a utility that lets you quickly and simply build SQL queries to IBM DB2 databases. Visual building as well as direct editing of a query text is available.

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EMS Data Comparer 2005 for SQL Server - EMS Data Comparer for SQL Server is a powerful and easy-to-use utility for data comparison and synchronization. You can view all the differences in compared tables and execute an automatically generated script to eliminate these differences.


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