StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Greenplum Database vs Oracle PL/SQL

Greenplum Database vs Oracle PL/SQL

OverviewComparisonAlternatives

Overview

Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8
Greenplum Database
Greenplum Database
Stacks45
Followers111
Votes0
GitHub Stars6.2K
Forks1.7K

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.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

Oracle PL/SQL
Oracle PL/SQL
Greenplum Database
Greenplum Database

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

It is a massively parallel processing (MPP) database server with an architecture specially designed to manage large-scale analytic data warehouses and business intelligence workloads. It is based on PostgreSQL open-source technology.

-
Core SQL Conformance; MPP Architecture; Innovative Query Optimization; Polymorphic Data Storage; Integrated In-Database Analytics
Statistics
GitHub Stars
-
GitHub Stars
6.2K
GitHub Forks
-
GitHub Forks
1.7K
Stacks
748
Stacks
45
Followers
598
Followers
111
Votes
8
Votes
0
Pros & Cons
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
  • 1
    Extensible to external langiages
Cons
  • 2
    High commercial license cost
No community feedback yet
Integrations
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java
PostgreSQL
PostgreSQL
Kong
Kong
Slick
Slick
Heroku
Heroku
Apache Hive
Apache Hive
Clever Cloud
Clever Cloud
Couchbase
Couchbase
Sequelize
Sequelize
Sails.js
Sails.js
Metabase
Metabase

What are some alternatives to Oracle PL/SQL, Greenplum Database?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase