data compare

10 Ways to Synchronize Oracle Table Data

In the process of developing databases many developers and testers encounter a problem of synchronizing data between local and remote Oracle database. Changes made in a local database must be reflected in a remote database. It’s also necessary to check test results with the model database, to find non-synchronized tables that appeared after these tests, to have possibility to return the test database to its initial state when testing newly developed versions of databases intensively. Another problem may be to create CRUD operations quickly without making too much effort to find different objects and to write DML statements. Now let’s find out how one can synchronize data of Oracle databases.

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How To: Disable All Foreign Keys in Oracle Scheme

When you perform data maintenance operations, sometimes, it’s necessary to disable or enable all foreign keys in the user schema.

Here is the script that solves this task:
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Devart Unveils Free Data Compare Tool for Oracle to Bring High Speed and Adjustable Comparison

Devart today unveiled a new data comparison tool, dbForge Data Compare for Oracle. It delivers automatic data comparison in Oracle databases, provides a convenient GUI to manage the differences, and generates SQL*Plus-compatible synchronization script to synchronize the data.

Read more: dbForge Data Compare for Oracle news…

Quick start in database development with Sakila database project

The Sakila project was designed to demonstrate all cutting-edge capabilities of dbForge Studio for MySQL such as Database Projects, Database Diagram, Data Reports, Pivot Grid, Visual Query Builder, Code Refactoring, Database Comparison and Synchronization, and also to let a user get acquainted with the mentioned functionality quickly and easily with the help of the prepared examples.

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How To: Kill User Sessions in Oracle

Not a long time ago we started to write auto-tests for testing our new product –
dbForge Data Compare for Oracle. To recreate a schema in Oracle all user sessions should be killed.

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dbForge Data Compare for Oracle: new life to the product line

Recently our development efforts were focused on dbForge for SQL Server product line. We’ve made five major releases of SQL Server database tools in last 18 months. Besides, we’ve made two major releases of MySQL database tools in this period. Our Oracle database tools product line, once actively developed, was frozen for almost three years. Sure we made maintenance releases, but no new features and tools. Our Oracle tools even were not re-branded to dbForge for Oracle. But now we decided to breeze the new life into Oracle tools development.

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Dare compare your SQL data much more faster!

We compared some best-of-breed SQL data comparison tools with dbForge Data Compare for SQL Server to find out which one is faster to compare and synchronize data in SQL Server databases.

The participant tools were tested with default settings on live databases on SQL Server 2008 that installed with default settings on a desktop (with a dual-core processor and 2Gb of RAM). Both competitors tools and SQL tools by Devart were installed on the same desktop. (more…)

Meet Performance-Leading SQL Comparison Tool

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 dbForge Data Compare for SQL Server 2.00 that incorporates three times faster data comparison and synchronization, the smallest price and greater satisfaction than all other data comparison tools offer.

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Synchronizing SQL data between a company database and a data warehouse

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 SQL data comparison and synchronization. (more…)

Data Comparison Methods Overview

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.
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