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Complete Data Management and Analysis Suite for MySQL in dbForge Studio 4.00 - mysql

This is a discussion on Complete Data Management and Analysis Suite for MySQL in dbForge Studio 4.00 - mysql ; Teaming up with the users, Devart launches a new version that restructures and manages data in MySQL databases like the users want. Devart unveiled that supplies database-dealing people with the very data management capabilities they want. The new version of ...


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Old 01-28-2010, 07:20 AM
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Default Complete Data Management and Analysis Suite for MySQL in dbForge Studio 4.00

Teaming up with the users, Devart launches a new version that restructures and manages data in MySQL databases like the users want.

Devart unveiled that supplies database-dealing people with the very data management capabilities they want. The new version of dbForge Studio for MySQL has appeared as a result of long-term and successful collaboration of Devart's developers and a diversity of customers and potential users around the world.

Having accumulated extensive knowledge in data management preferences and routines, Devart has created dbForge Studio for MySQL 4.00 that predicts and delivers expected capabilities in any phase of dealing with data.

The users can manage the data from soup to nuts in one place and with the same little effort as usual. Here are several ways users can experience in dbForge Studio for MySQL 4.00:

Brings the Features Users Want

Data Import. Guided by a click-and-pick wizard, the users can easily import data from seven widely-popular formats (CSV, DBF, MS Access, MS Excel, ODBC, Text, XML) with a multitude of settings to meticulously tune the data.

Improved Data Editor. Up to 40 improvements were implemented to create quicker, easier, and more delighted ways for data management. The Data Editor spares tens of mouse clicks a day for you saying nothing of tens of frowns.

Pivot Grid. The users can convert large amounts of data into compact and informative summaries - pivot tables. They can rearrange any obscure data by a simple drag of a mouse to get the layout best for understanding data relations and dependencies.

Data Reports. Every user can benefit from a modern way of generating reports. Less time and manual work is required – from getting required data from a database, analyzing, to printing it as a smart, clear, and stylish report tuned for each particular case.

Virtual Relations On Database Diagram. Besides physically existing foreign key relations, dbForge Studio for MySQL allows creating virtual relations. They help create relations between those tables which storage engine do not support foreign keys. Later virtual relations can be easily converted into physical foreign keys.

Command Line Launch for Data and Schema Synchronization Tools. This gives more freedom for the users that perform repeated synchronizations. It takes only to set a desired time to launch the process and then come back to check the desired result at a proper time.

Schema comparison reports. Keeping records of schema changes is now automated. dbForge Studio for MySQL can generate a clear and attractive comparison reports upon the comparison completion.

Works the Way Users Want

The new version contains many essential improvements that increase the efficiency in working with data. Here are some of them:
  • Addition of active database selector to SQL Document
  • SQL formatting improvements
  • Stored procedure/function editor redesign
  • SQL execution parameter editor redesign
Price and Availability

The fully-functional 30-day trial version of dbForge Studio for MySQL 4.00 is available for download at www.devart.com/dbforge/mysql/studio/download.html. The license price starts at $99.95.

About Devart

Devart is a software development company with 11 years of experience on the software market and over 20 thousands of devoted users.
We specialize in providing comprehensive development and management tools as well as native connectivity solutions for the most popular databases, including Oracle, SQL Server, MySQL, PostgreSQL, InterBase, Firebird, and SQLite.
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