Migrating to a new database is a big undertaking, but the real work begins after you’ve moved the testing data, ensuring every column has transferred correctly. Manually comparing massive datasets is inefficient and risks overlooking critical discrepancies. DBeaver’s Data Compare feature simplifies the process by comparing data in two tables row by row, according to a unique key.
Remaining competitive in fast-moving markets requires innovation, which in turn often requires application modernization. Thus, it is common for organizations and individuals to switch from using one database to another.
The question arises: what to do with the existing database? How can you migrate without any losses in structure or data? Today, we will show you how you can do so in DBeaver by using the example of migration from Oracle on-premise to cloud-hosted MariaDB.
If you work with databases, then you know that they often contain a large number of different objects. Therefore, it is sometimes difficult to find the necessary data or metadata quickly. But everything becomes much easier with DBeaver.
Shortcuts can greatly simplify your work with DBeaver. Previously, we have already told you about the best hotkeys for new and existing SQL scripts. Today we want to cover TOP-5 shortcuts for working with the Data Editor that you may find useful.
In one of our previous blog posts, we talked about what opportunities DBeaver provides to financial analysts. Data Editor features may come in handy not only for them but also for other specialists working with large amounts of data. Today we will tell you about one of these features, it allows you to colorize certain values in your table.
The Data Editor is one of the most powerful and useful DBeaver tools for most of our users. It allows you to view and edit data and metadata, visualize data, generate result sets for reporting, and much more.
Our readers are already familiar with Louis, who not only uses DBeaver for his work but also uses it for his favorite hobby. He has a website where he regularly publishes information about films, and he stores all the necessary data in a database. Louis realized one day that it was not only he but also his readers who were interested in information about popular TV series.
DBeaver supports a large number of databases with different purposes. Relational databases remain the most common databases our users constantly work with, and our app offers a wide range of features for working with the data stored in them. For your convenience, we have added the ability to visualize data to our PRO versions as one more way to work with data.
Our hero Louis, who you would have read about in one of our previous articles, has a new hobby. As he is quite fond of going to the cinema, he has created his own website with information about movies. Louis stores movie titles and descriptions, cast lists, and other information in a database and updates it regularly. And with DBeaver, he can easily keep his site up-to-date.
