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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Greenplum Database vs YugabyteDB

Greenplum Database vs YugabyteDB

OverviewComparisonAlternatives

Overview

Greenplum Database
Greenplum Database
Stacks47
Followers111
Votes0
GitHub Stars6.2K
Forks1.7K
YugabyteDB
YugabyteDB
Stacks50
Followers114
Votes1
GitHub Stars9.9K
Forks1.2K

Greenplum Database vs YugabyteDB: What are the differences?

  1. Architecture: Greenplum Database is a massively parallel processing (MPP) database designed for analytics workloads, while YugabyteDB is a distributed SQL database that is fully ACID compliant.
  2. Data Model: Greenplum utilizes a columnar storage layout suitable for analytical queries, whereas YugabyteDB offers a flexible data model supporting relational, JSON, and time-series data.
  3. Consistency Model: Greenplum provides eventual consistency with data replication across segments, while YugabyteDB offers strong consistency with distributed ACID transactions.
  4. Scaling: Greenplum scales vertically by adding more resources to individual servers, while YugabyteDB scales horizontally by adding more nodes to the cluster.
  5. Multicloud Support: Greenplum supports deployment across multiple cloud providers, but management and deployment can be more complex compared to YugabyteDB, which natively supports multicloud deployments with ease.
  6. Use Cases: Greenplum is well-suited for data warehousing and analytics, while YugabyteDB is a versatile database suitable for transactional workloads, real-time analytics, and microservices.

In Summary, Greenplum Database and YugabyteDB differ in architecture, data model, consistency model, scaling approach, multicloud support, and use cases.

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Detailed Comparison

Greenplum Database
Greenplum Database
YugabyteDB
YugabyteDB

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.

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

Core SQL Conformance; MPP Architecture; Innovative Query Optimization; Polymorphic Data Storage; Integrated In-Database Analytics
Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars
6.2K
GitHub Stars
9.9K
GitHub Forks
1.7K
GitHub Forks
1.2K
Stacks
47
Stacks
50
Followers
111
Followers
114
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Compatible with the result of pg_dump
Integrations
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
Golang
Golang
PHP
PHP
Java
Java
Python
Python
Spring Boot
Spring Boot
Apache Spark
Apache Spark
Node.js
Node.js
C#
C#
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to Greenplum Database, YugabyteDB?

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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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