11/07/2024

Distributed databases—by storing data across a whole set of physical locations— allow organizations to manage data across multiple geographical locations with the semblance of a single unified system. What can companies gain with this choice?

• Blog

04/07/2024

Executions plan—complex maps charted by the SQL Server optimizer, dictate the most efficient route for data retrieval. However, the plans are not static. They morph and adapt, influenced by a host of factors ranging from data volume changes to system upgrades. Each of the execution plan changes in SQL Server has the potential to sway performance dramatically.

Understanding the reasons behind these shifts, and more importantly, how to effectively manage them translates to maintaining optimal performance in SQL Server environments.

• Blog
• Microsoft SQL
• Performance Monitor

27/06/2024

Performance issues rarely occur in isolation. Often, a single problem can trigger a cascade of related issues, each compounding the overall impact on the system. This case study explores such a scenario in the T10 database on the g1rush server. 

• Blog
• Microsoft SQL
• Oracle
• Performance Monitor
• PostgreSQL

20/06/2024

Execution plans choose the way in which SQL queries are executed by the database engine. As such, they are a difference between a smoothly running database and one that stumbles under load. Sometimes, an execution plan changes, for various reasons—often silently and without warning—and the far-reaching fallout can be huge.

The most immediate impact seen as the execution plan changes is a decline in query performance. A query that once ran smoothly in milliseconds might, due to an altered plan, start consuming seconds. This increase in query time can cascade into longer load times for applications, frustrated end-users, and severe financial repercussions in high-stakes environments such as financial trading platforms or real-time data services.

• Blog
• Microsoft SQL
• Performance Monitor

13/06/2024

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.

• Blog
• Oracle
• PostgreSQL