Backup and restore helps protect organizations from data loss by creating and storing data copies. Today, we will talk about why this process is crucial for companies and how to perform database backups and recovery using DBeaver.
DBeaver PRO allows you to work with different types of databases, including cloud-hosted ones. Today, we want to guide you step-by-step through creating a connection to Google BigQuery using two different ways.
If you have the MySQL database available in Microsoft Azure, you need a convenient tool to connect and start working with it. DBeaver Ultimate and DBeaver Team Edition allow you to connect to MySQL databases in two ways: through a standard wizard and by using Cloud Explorer. Let’s look at how to use each of these methods step by step.
DBeaver users are constantly coming to our team with requests on how to personalise their data experience. For example, some of them would like to customize their toolbars in SQL and Data editors. What if we told you that this is now possible?
The main goal of our apps is to simplify SQL scripting for users in various professions who have different skill levels. That is why we have the Visual Query Builder – a tool with which you can create SQL queries based on the visual representation of the part of your database schema. Previously, we have briefly talked about this feature and its capabilities in our blog. However, we want to dive a little deeper and show you how you can use VQB for your tasks.
How can DBeaver help you find what you need on your databases? From the previous part of this article series, you can learn how to search the data stored in your databases conveniently. And today, we want to talk about Metadata Search.
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.
DBeaver not only provides a large number of database drivers out of the box but also allows you to create a connection to almost any database by using native ODBC drivers. This can be useful if the database doesn’t have a JDBC driver or company employees can only use an ODBC one.
Using DBeaver’s cloud connectivity options, you can connect DBeaver to Amazon Timestream natively. DBeaver provides a comprehensive and intuitive interface to work with time series data directly from within a DBeaver application. Using your credentials, it also gives you full access to any queries that you could execute from another query interface. It even lets you create graphs for better understanding and visualization of query results.
