Greenplum Database vs Oracle PL/SQL: What are the differences?

## Introduction
This markdown provides a comparison between Greenplum Database and Oracle PL/SQL based on key differences.

## 1. Architecture:
Greenplum Database is a massively parallel processing (MPP) database designed for analytics and data warehousing, whereas Oracle PL/SQL is a procedural language extension to SQL for Oracle databases.

## 2. Scalability:
Greenplum Database is highly scalable and capable of handling petabytes of data, making it suitable for big data analytics, whereas Oracle PL/SQL is more suitable for smaller scale applications and databases.

## 3. Parallel Processing:
Greenplum Database is optimized for parallel processing and can efficiently distribute queries across multiple nodes in a cluster, enabling faster query performance on large datasets, while Oracle PL/SQL is more optimized for transaction processing and may not offer the same level of parallel processing capabilities.

## 4. Cost:
Greenplum Database is often seen as a cost-effective solution for organizations dealing with large volumes of data and needing advanced analytics capabilities, whereas Oracle PL/SQL may involve higher licensing costs, especially for enterprise-level features and support.

## 5. Community and Support:
Greenplum Database has a strong open-source community and support from various organizations, while Oracle PL/SQL relies on Oracle Corporation for support and updates, which may come at a premium.

In Summary, Greenplum Database is optimized for big data analytics and scalability with a parallel processing architecture, cost-effectiveness, and strong community support, while Oracle PL/SQL is more suitable for smaller databases and transaction processing with higher licensing costs and support from Oracle Corporation.