Devart announced the release of a new version of the professional tool for SQL server data comparison and synchronization – dbForge Data Compare 2.00. Committed to support the needs of database-dealing professionals, Devart now delivers a performance-leading SQL comparison tool that incorporates three times faster data comparison and synchronization, the smallest price and greater satisfaction than all other data comparison tools offer.

Incorporating these three components, dbForge Data Compare 2.00 guarantees greater satisfaction and smother database-dealing experience for any SQL comparison and synchronization goals.

The highlights of dbForge Data Compare 2.00 include:

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Recently we’ve received a question from one of our customers asking how to synchronize data between companies servers and a data warehouse server. Let’s see how easy it can be done with the help of  dbForge Data Compare for SQL Server, a professional tool for data comparison and synchronization.

What we have:

We have two companies ( they use ERP software), each having their own SQL Server database with one table. The companies tables with their customers’ data are saved in the data warehouse as follows:

• The SQL table for company1 is Company1$Customer.
• The SQL table for company2 is Company2$Customer.

What we need:

We need to create a data warehouse with all information stored in one set of SQL tables. For example, the created data warehouse should contain a Customer table that contains all records of Company1$Customer and Company2$Customer.  This table should contain an extra field with a company name to make the records unique. We need to synchronize only changed records.

How to complete the task:

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Data comparison is a difficult and resource-intensive process. For convenience, this process can be divided into several steps.
First, you should compare tables from one database on one server with the database on the other server. You should choose columns for data comparison, and also choose a column that will be a comparison key.
The next step is to choose all data from these tables or some specified part of the data.
The third and the most important step is comparison of the two tables by the selected comparison key itself. During this process the status of each record is set to “only in source”, “only in target”, “different”, or “equal”.
The final steps of the data comparison process are including records to the synchronization and synchronization itself. During these steps records needed for synchronization are chosen, update script is created, and after that the script is executed.
You can read a detailed description of the comparison process here.

Now let’s look at the third step (data comparison) thoroughly.

There are several ways of data comparison that differ only by the side where data comparison is going to be performed – on the server side or on the client PC.

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The most important characteristic of any software is its quality. The quality, according to the model specified in the ISO 9126 standard, consists of the following characteristics:

• Functionality
• Reliability
• Ease of use
• Efficiency
• Maintenance
• Portability

Of course users are not concerned about any quality models and just tell us their suggestions and wishes. It’s these suggestions and wishes that are the most preferred description of any quality characteristic.

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Schema Compare for SQL Server 2.00 compares schema snapshots, database backups, and database changes in version control systems to accelerate the work of advanced database developers.

Devart today announced the public availability of  Schema Compare for SQL Server 2.00 that delivers new capabilities to help customers more effectively compare databases and more quickly migrate schema changes across different SQL Server versions.

Featuring new functionality, the tool is better equipped to span a full spectrum of database comparison and synchronization tasks and allows completing them at a professional level.

The highlights of Schema Compare for SQL Server 2.00 include:

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Need to move databases from SQL Server 2000 to SQL Server 2005 – 2008 or vice versa?

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Preserving data in tables after synchronization is one of requirements for successful schema synchronization. dbForge Schema Compare for SQL Server offers two mechanisms of preserving tables data during synchronization, they are warning the users about data loss and restoring data in recreated objects.

But it is not all, dbForge Schema Compare for SQL Server goes on and offers table data verification during synchronization.

How it works

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Devart, a vendor of native connectivity solutions and development tools for Oracle, SQL Server, MySQL, PostgreSQL, InterBase, Firebird, and SQLite databases, has announced the release of dbForge Schema Compare for SQL Server 1.50, a sophisticated tool specially designed to meet a diversity of comparison tasks, help analyze schema differences at a glance, and synchronize them correctly, saving time and efforts.

With the new release, Devart continues its dedication to providing a line of safe as well as powerful tools for SQL Server database synchronization.

The highlights of Schema Compare for SQL Server 1.50 include:

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Many users of dbForge Schema Compare for SQL Server ask us how to exclude all the objects or a group of objects at once from synchronization. It is not a problem.

Pay attention to the document with comparison results. In the middle of the grid, just between Source Objects and Target Objects columns, you can see two columns – one with check boxes (they will help you exclude the objects from the synchronization or include them), the other – with operations which will be applied to the Target objects during the synchronization.

Document with comparison results

4 ways to exclude all the objects from the synchronization:

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Devart has released today the improved version 1.10 of dbForge Schema Compare for SQL Server, a sophisticated tool specially designed to meet your specific comparison tasks, help analyze schema differences at a glance, and synchronize them correctly, saving time and efforts.

dbForge Schema Compare for SQL Server 1.10 features the following enhancements:

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