CloudBeaver 22.0
We are happy to tell you that Version 22.0 is available for all CloudBeaver products. Let’s take a look at the main features included in this release.
We are happy to tell you that Version 22.0 is available for all CloudBeaver products. Let’s take a look at the main features included in this release.
Exactly one year has passed since our last major release. Today we are glad to announce the DBeaver 22.0 version which, as always, brings significant updates. We know that many of our users update the app only once a year, so this version is the most important and stable one. Let’s talk about what has changed in DBeaver this year.
Sometimes one set of SSH/Proxy credentials is used to connect to different databases. To avoid the need to enter the same information each time you connect, we suggest you use network profiles in DBeaver. Today we will tell you how to do that.
DBeaver allows you to work with all popular databases. The first thing you have to do is to create a connection. Our app provides a wizard that guides you through the steps to do it.
Ten years ago, we could not even imagine the words “database” and “financial analyst” in one sentence. The database world existed only for stern developers and administrators who wrote complicated scripts in a console window.
But now a large number of financial companies are constantly using DBeaver. The implementation of our products for analysts’ workflow is always accompanied by a lot of questions and concerns. We collect the top 5 popular questions and solutions for this article.
DBeaver is a multiplatform application. It has versions for Windows, macOS, and Linux users. To start working with DBeaver you need to download and install it, and today we will go through these steps with you.
Using DBeaver means it is easy to deal with complex databases even if you are not a pro in SQL scripting. This is possible due to the Visual Query Builder, a helpful tool that automatically creates SQL scripts. All you need to do is to create a visual model using your mouse.
Teradata is a massive parallel analytical database available for use in cloud environments, managed cloud, VMware virtualization environment, and specialized hardware. Teradata is built on a proven, high-performance decision support engine with data access and management tools. It offers you the flexibility of parallel implementation, comprehensive world-class service, and years of data warehouse expertise.
This year has become an essential milestone in the history of CloudBeaver’s development. We launched the enterprise version, improved the AWS-adapted version, attracted the first active users, and got positive feedback. Introducing CloudBeaver 21.3, the last major release this year. It is available on Docker Hub and AWS marketplace.