Grid Computing aims to solve a few common problems faced by Enterprise IT by producing more resilient and lower-cost operating systems.

It differs from the other types of computing through provisioning and virtualization. Since capacity can be easily relocated or added from the resource pool as needed, peak workloads are not required. This type of architecture allows a new system to be swiftly provisioned from the pool of components. The Oracle database was the first database designed for Enterprise Grid Computing, which is the most cost-effective and flexible way to manage information and applications.Įnterprise Grid Computing develops large pools of industry-standard servers and modular storage.

Oracle database runs on various major platforms like Linux, UNIX, Windows, and macOS. Oracle offers a multi-model Database Management System popularly leveraged for Data Warehousing, Online Transaction Processing, and mixed database workloads. This ensures the maintenance of ACID principles while doing away with the need to read locks. MVCC provides each transaction a “Database Snapshot” that allows changes to be made without impacting other transactions. Concurrency is managed by PostgreSQL through Multi-Version Concurrency Control (MVCC). PostgreSQL runs on various major platforms like Windows, Linux, macOS, and UNIX to name a few. It also provides an array of features on top of RDBMS features like indexes, stored procedures, views, triggers, and atomicity features to name a few. PostgreSQL is widely known for its Open-Source platform that supports all features of RDBMS. These factors can serve as yardsticks to help you make an educated decision regarding the best tool to leverage for your needs. This article covers the PostgreSQL vs Oracle discussion keeping in mind 6 crucial factors to help you decide between the two.

PostgreSQL vs Oracle: Replication and Compatibility.

Understanding the Key Differences between PostgreSQL and Oracle.

Simplify your Data Analysis with Hevo’s No-code Data Pipeline.

Postgresql vs sql server tutorial