data generator

We are glad to notify our users that a new version of the Devart Oracle data generation tool has been released – dbForge Data Generator for Oracle, v2.0. The new version allows creating and saving your personal data generators, generating data to tables already filled with data, run data generation in a single click and much more! (more…)

We are excited to inform our users that we have released new versions of dbForge Schema Compare for MySQL, dbForge Data Compare for MySQL, dbForge Query Builder for MySQL, dbForge Data Generator for MySQL, and dbForge Documenter for MySQL. (more…)

After a grand update of dbForge Studio for MySQL, we haven’t forgotten about the rest of the dbForge for MySQL product range. Our developers took maximum care of each and every MySQL tool and revamped them with specific new features and updates. (more…)

This article will demonstrate how to get live currency exchange rates with the help of Python and dbForge Data Generator for SQL Server.

Currency exchange rate is the reference information used in the translation of monetary values from one currency to another. The exchange rate expresses the value of one currency in terms of another. (more…)

Recently we got an interesting question from our user:

The docs don’t address directly, but how can we generate three related data elements, like date (more…)

In this post, we would like to show how to quickly generate table values that are based on the values of another column of same table. For this purpose, we will use the Python Generator being a part of dbForge Data Generator for SQL Server.

First, let’s create a test table using the following script:

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Why meaningful test data important?

While developing an application, you need to make sure you are testing it under conditions that closely simulate a production environment. Most tests rely on sample data for testing. If you manually enter data into a test environment, one record at a time using the UI, most probably, you will never build volume and variety of data that your app will accumulate in a few days in production. It is obviously that the behavior will differ. Most likely, the data you insert into a test database will be based on your own usage patterns and will not match real-world usage, leaving significant bugs untested. (more…)