Greenplum Database vs PipelineDB

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Greenplum Database
Greenplum Database

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PipelineDB
PipelineDB

6
13
+ 1
0
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Greenplum Database vs PipelineDB: What are the differences?

What is Greenplum Database? An open-source massively parallel data platform for analytics, machine learning and AI. 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.

What is PipelineDB? The Streaming SQL Database. PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.

Greenplum Database and PipelineDB belong to "Databases" category of the tech stack.

Some of the features offered by Greenplum Database are:

  • Core SQL Conformance
  • MPP Architecture
  • Innovative Query Optimization

On the other hand, PipelineDB provides the following key features:

  • No Application Code
  • Runs on PostgreSQL
  • Eliminate ETL

Greenplum Database is an open source tool with 3.79K GitHub stars and 1.08K GitHub forks. Here's a link to Greenplum Database's open source repository on GitHub.

- No public GitHub repository available -

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.

What is PipelineDB?

PipelineDB is an open-source relational database that runs SQL queries continuously on streams, incrementally storing results in tables.
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          What are some alternatives to Greenplum Database and PipelineDB?
          Hadoop
          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.
          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 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.
          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.
          Microsoft SQL Server
          Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
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