Today, we've got some good news for all users of MySQL and MariaDB databases—we are rolling out a rather big update of our dbForge tools for MySQL with quite a few handy enhancements that will make your routine work faster and easier.
We have already explored the capabilities of the much-hyped ChatGPT in terms of writing SQL JOIN queries and retrieving data from MySQL databases. Now the time has come to take one more step further and scrutinize a more narrow-focused yet crucial topic for database developers—unit testing. We'll see how ChatGPT fares when it comes to writing unit tests for various database objects.
Recently, we've explored the case when dbForge SQL Complete was adopted by a group of SQL developers working under the banner of a tech company and seeking to get their routine coding done faster. Our today's case dwells on the same idea—but the difference is that this time we'll be dealing with a company of a much larger scale.
Database security offers new challenges emerge daily, and you have to pay all your efforts to prevent risks. Reliable protection grounds on a system with several security levels. Let's talk about these levels and practical measures. To start, we'll take one of the most popular database management systems – PostgreSQL.
In this article, we'll give a brief overview of SSH protocol and tunnel, as well as explore how to connect to a MySQL server remotely using the SSH tunnel created with the help of PuTTY, a popular Windows SSH client.
As businesses grow, so do their databases. With the increasing amount of data that needs to be processed, it can become overwhelming to manage multiple databases and execute scripts across all of them. This can lead to errors and inefficiencies, wasting valuable time and resources.
It is always interesting to explore a case where dbForge tools are used in a collaborative process. Take SQL Complete, for instance. It was created to make individual SQL developers exceptionally productive and help them write error-free code much faster.
New ODBC drivers make it easier for users to integrate their data from popular platforms into their workflows, reducing the time and effort required for data analysis and reporting.
If you are a database developer dealing with several projects, it means you have to handle a number of database management systems simultaneously. And for each of these systems, you need to have a proper set of tools at hand. Moreover, the said set of tools must be complete and flexible enough to follow the evolving project and its current requirements.