What is Greenplum Database?
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.
Greenplum Database is a tool in the Databases category of a tech stack.
Greenplum Database is an open source tool with 4K GitHub stars and 1.1K GitHub forks. Here’s a link to Greenplum Database's open source repository on GitHub
Who uses Greenplum Database?
11 developers on StackShare have stated that they use Greenplum Database.
Greenplum Database Integrations
PostgreSQL, Heroku, Slick, Sequelize, and Metabase are some of the popular tools that integrate with Greenplum Database. Here's a list of all 10 tools that integrate with Greenplum Database.
Pros of Greenplum Database
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Greenplum Database's Features
- Core SQL Conformance
- MPP Architecture
- Innovative Query Optimization
- Polymorphic Data Storage
- Integrated In-Database Analytics
Greenplum Database Alternatives & Comparisons
What are some alternatives to Greenplum Database?
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The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
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.
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
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.
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.