Data Editor is a useful and often necessary feature for working with data in CloudBeaver. Its functionality is not limited to editing the table in Grid mode and sorting with the filter field. Users can also work with data in Value and Grouping panels, allowing you to change, view and sort data conveniently.
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.
Our CEO, Tatiana Krupenya recently interviewed David Grummer, CPO of RedGate, an entrepreneur and product leader with more than 25 years experience in various technological sectors. Today we want to share with you the text version of this interesting conversation.
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.
In addition to working with data in the form of editing and research, CloudBeaver allows you to export entire tables or parts of tables in ten different formats. If users have a specific task, they have three ways to offload the necessary data at once.
Every year in the first half of June, we present you with a new DBeaver PRO release. This time will be no exception. Let’s talk more about the most important of them.
Working with databases inevitably leads to the need to provide security at different levels. For this reason, we at DBeaver, as the creators of the database tool, pay special attention to sensitive data safety and follow security best practices. Today we want to answer some of the most popular security-related questions.
Distributing infrastructure between several cloud providers became a tendency that more and more companies have to deal with. For example, the databases you need could be accessible via AWS, GCP, and Microsoft Azure. The obvious question arises: how can you work with all these databases simultaneously and easily switch between configurations?
SQL Editor is a powerful tool for creating and executing various SQL scripts. Today, our heroes will learn how it can be used to speed up and simplify their work with databases in CloudBeaver.
