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.
The Most Important Database Performance Metrics
If no one sees the database issues, do they really happen? – Contrary to the popular philosophical dilemma, this question can be answered quite easily – Absolutely yes. Unseen or unmonitored problems in database systems do occur and can indeed cause significant disruptions. It doesn’t matter if they’re not immediately apparent. Without monitoring of the database performance metrics and proactive management, these underlying issues can compound, leading to decreased performance, potential data loss, and even system failures that by their nature demand urgent and often extensive interventions to rectify.
The cost of ignoring database performance metrics is just too great.
The Toughest Challenges and Problems with Oracle Database
As of today, the Oracle database is still the most popular database out there, with a rating score of 1,240.88. Considering all of the factors – its powerful and comprehensive features that cater to large-scale enterprise needs, it comes as no surprise.
However, having managed and used numerous Oracle databases over time, we’ve observed several recurring frustrations — problems with Oracle database that can pose significant challenges for its users. From the complex and often opaque licensing structure to high costs and aggressive sales tactics, taking care of the Oracle ecosystem requires constant awareness and a willingness to adapt, at any second.
The Story of Locks by Application Issues
On the 20th of April, query load times usually ranged from 12 to 15 seconds per snapshot, but there was a notable spike exceeding 2,000 seconds during certain periods. This anomaly suggested a deeper issue, prompting a detailed investigation. By examining the correlation between locks and application issues, executions, disk reads, and buffer writes, a significant overlap was found between increased query durations and intensified locking issues. Accessing the lock history tab provided detailed data on each lock event, including the time, duration, and specific database elements affected.
Why Oracle Changes the Execution Plan for a Query?
Understanding why Oracle changes the execution plan for a query can save you a lot of time and headaches. Statistics, data distribution (even without updated statistics), schema changes, and much more — There are numerous factors behind the changes of the execution plan. Having a grasp on all of them helps maintain efficient and stable query performance.
BLOG – 10 Mistakes Committed by Inexperienced Programmers in Relation to Databases
From the basics of understanding SQL and its impact on databases, to the importance of maintaining clear Service Level Agreements and performance baselines, this article sheds light on critical areas often overlooked by newcomers.