10 Good Practices for Database Backups

12/09/2024

10 Good Practices for Database Backups

The act of backing up databases may seem like a routine chore but it’s an art form, practiced by those who maneuver through the digital aisles with the finesse of a cat burglar and the foresight of a chess master. Much like a well-timed joke or a perfectly brewed cup of coffee, timing in backups is everything.

It ensures that the digital lifeblood of your business keeps pulsing through the veins of your operations, even when fate throws a wrench in the works. This set of good practices for database backups may not make you a master of all, but it will certainly steer you clear of the most dangerous (and costly) mistakes.

Performance Monitor Changes in Version 2024.2—Part I: Online Monitor

22/08/2024

Performance Monitor Changes in Version 2024.2—Part I: Online Monitor

Statistics can lie—” The only statistics you can trust are those you falsified yourself” This old adage attributed to Sir Winston Churchill rings especially true if you’re dealing with daily database monitoring. When data is only captured in 15-minute intervals, transient issues that can severely impact performance might slip through the cracks, unnoticed and unaddressed until they’ve already caused significant problems.

In the newest release of the DBPLUS PERFORMANCE MONITOR, we’re extremely excited to show you the solution that the new functionality brings to the table.

Logical vs Physical Replication

18/07/2024

The Replication Dichotomy: Logical vs Physical Replication

There’s a peculiar habit among some database professionals occasionally to toss logical and physical replication into the same bin. One might as well say socks and shoes are the same because, after all, they both go on your feet, right? But as anyone who’s tried wearing socks in the snow can attest, similarities on the surface can hide a whole universe of differences between logical vs physical replication.

Blurring together logical and physical replication, or neglecting their differences can lead to inefficient data management strategies. Each method has its merits and ideal scenarios of use. Knowing just when to apply each one—understanding their unique roles in the spectrum of data management—helps avoid unnecessary workload, optimizes performance, and ensures data integrity.

PostgreSQL vs Oracle

13/06/2024

PostgreSQL vs Oracle: Choose the Right Database for Your Needs

PostgreSQL vs Oracle — an open-source framework that champions adaptability and accessibility versus a proprietary system designed for high throughput and scalability in enterprise environments.  These two database systems, while both engineered to manage vast amounts of data, diverge significantly in their approach, philosophy, and intended user base.

PostgreSQL is a community-driven, flexible model that supports customization and supports innovation, making it ideal for entities that value agile and cost-effective solutions. Oracle, in contrast, targets large-scale operations with its performance-oriented architecture that ensures reliability and robustness under heavy loads.