Operations | Monitoring | ITSM | DevOps | Cloud

We’ve got another big update coming your way. This time it’s all about dbForge tools for Oracle, which have received a huge number of new options, functional enhancements, and subtle design tweaks, all of which will work together to make your daily work with Oracle Database exceptionally easy and convenient. Without further ado, let’s see what we’ve got for you today.

Our team is excited to announce the release of three new Devart ODBC Drivers that provide easy access to data stored in Dynamics 365 Business Central, Trello, and ClickUp using the ODBC standard. These Drivers are robust solutions that allow developers, analysts, and business intelligence professionals to connect to live data on cloud platforms and databases directly from any ODBC-compliant application.

We’re excited to announce that users can opt-in/out of preview features that are under development directly in Flyway Desktop. There are currently three preview features that will be in the next major version of Flyway Desktop; a new connection dialog with options to provision databases, a full schema model view, and support for static data in PostgreSQL databases.

We are thrilled to announce the public preview of our new feature: Static Data for PostgreSQL Database using Flyway. This feature is designed to enhance your database management experience by allowing you to manage static data alongside your schema seamlessly for versioning and deploying your database changes.

Linux has a reputation as an operating system for programmers. So, if you are a software developer who designs MySQL-based solutions, chances are high that you will do it on Linux. Thus, it would be great to have a MySQL IDE for Linux to simplify the work. But the question arises: is there an appropriate Linux DB tool for MySQL with a GUI?

Time-series databases have become the backbone of modern observability, financial analytics, and IoT systems. But there's a common challenge that can bring even the most robust systems to their knees: high cardinality. When your database starts tracking millions of unique values across various dimensions, performance doesn't just dip—it can collapse entirely. Let's understand the technical details of what happens when cardinality spikes and how you can architect your systems to handle it.

Need to list all the keys in your Redis database? If you're debugging an issue or just checking what's stored, retrieving all keys is a useful skill for any developer. This guide covers everything you need to know—from the basic commands to the performance implications—so you can query Redis efficiently without slowing things down.