Operations | Monitoring | ITSM | DevOps | Cloud

DB-Engines reveals Snowflake as the DBMS of the Year 2024, beating PostgreSQL and Oracle. DB-Engines is today announcing that Snowflake is our DBMS of the Year for 2024, the third time it has claimed the top spot having previously been ranked first place in 2021 and 2022. Second in the rankings was PostgreSQL, followed by Oracle in third place. Snowflake has emerged as the most popular database management system over the past year, outpacing all other 423 monitored systems.

Read on to learn about how you can automate even more things with Flyway like project setup and state-based deployments. We’ll share how you can get the latest version and things you need to know when upgrading.

A comprehensive strategy for monitoring your database estate should go beyond performance metrics like CPU usage, memory consumption, and IO performance. This article explains a unified approach using Redgate Monitor, which will collect performance and security data side by side across all databases and servers, whether on-premises, cloud-hosted, or both.

This is a guest post from Mri Pandit. Information is the cornerstone of business operations, and data is now the most critical asset for any organization. But as reliance on data grows, so do the risks associated with breaches, fraud, and non-compliance. For most organizations, particularly in highly regulated sectors like finance, security and compliance are no longer optional – they’re essential for survival.

Many of my customers are using Flyway Enterprise to create migration scripts that will then be used to deploy database changes. They’ve been using Flyway Desktop, but some of them have expressed interest in using command line instead of the desktop.

In mid 2024, one of Redgate’s coaches, Clare, pulled together a team to focus on improving inclusivity within Redgate’s Engineering organisation. This group was designed to work alongside the wider company initiatives, under the guidance of Engineering leadership. Inclusivity is a very broad topic, and the group wanted to avoid becoming overwhelmed with all the possible options.

We’re excited to reveal our latest effort towards simplifying and accelerating the test data management process: AI Synthetic Data Generation, part of Redgate Test Data Manager. Officially introduced in a session at the recent PASS Data Community Summit, the capability uses machine learning to rapidly generate realistic yet entirely synthetic data – all while maintaining data integrity and with data privacy built-in as priority.

Have you heard about DORA in the past few months? That’s the Digital Operational Resilience Act, not DevOps Research and Assessment (DORA) on this occasion, which has been gathering pace and attention as the deadline for implementation approaches.

Every IT and data team in Financial Services is already faced with many challenges. They manage large database estates with Personally Identifiable Information (PII) that is particularly sensitive, requiring governance and process protection. They have to constantly adapt to changing customer expectations with better products, more seamless experiences, and five-nines availability. They’re expected to deliver new features and services quickly, while keeping data safe.

If you’re a developer, you may well be familiar with the scenario. You’re writing code and you want to test your changes against a copy of the production database. One that’s representative of the size and distribution characteristics and retains referential integrity so that, when your changes are released, they won’t result in a failed deployment that will take hours to resolve. But there’s a problem. The database copy you’re working with isn’t up to the job.