DBMS > ArangoDB vs. Greenplum vs. Oracle Coherence

System Properties Comparison ArangoDB vs. Greenplum vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Native multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

Oracles in-memory data grid solution

Primary database model

Document store
Graph DBMS
Key-value store
Search engine

Relational DBMS

Key-value store

Secondary database models

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.96
Rank	#89	Overall
	#15	Document stores
	#5	Graph DBMS
	#13	Key-value stores
	#10	Search engines

Score	7.07
Rank	#49	Overall
	#29	Relational DBMS

Score	1.74
Rank	#131	Overall
	#22	Key-value stores

Website

arangodb.com

greenplum.org

www.oracle.com/java/coherence

Technical documentation

docs.arangodb.com

docs.greenplum.org

docs.oracle.com/en/middleware/standalone/coherence

Developer

ArangoDB Inc.

Pivotal Software Inc.

Oracle

Initial release

2012

2005

2007

Current release

3.11.5, November 2023

7.0.0, September 2023

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache Version 2; Commercial license (Enterprise) available

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java

Server operating systems

Linux
OS X
Windows

Linux

All OS with a Java VM

Data scheme

schema-free

automatically recognizes schema within a collection

yes

schema-free

Typing

predefined data types such as float or date

yes

string, double, boolean, list, hash

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

since Version 4.2

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream

JDBC
ODBC

JCache
JPA
RESTful HTTP API

Supported programming languages

C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust

C
Java
Perl
Python
R

.Net
C++
Java

Server-side scripts

Stored procedures

JavaScript

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

since version 2.0

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication with configurable replication factor

Source-replica replication

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

can be done with stored procedures in JavaScript

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

configurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

relationships in graphs

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

yes

fine grained access rights according to SQL-standard

authentification to access the cache via certificates or http basic authentication

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More resources

DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

Graph Database Market Size is Projected to Reach USD 14.53
22 August 2024, GlobeNewswire

ArangoDB raises $10 million for NoSQL database management
14 March 2019, VentureBeat

ArangoDB Unveils ArangoGraph Insights Platform
4 October 2022, Datanami

ArangoDB 3.5 update improves multi-model database platform
22 August 2019, TechTarget

Multimodel database company ArangoDB lands $10M in funding
14 March 2019, SiliconANGLE News

provided by Google News

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale
9 September 2019, AWS Blog

Chapter 1. Introducing the Greenplum Database
6 December 2018, O'Reilly Media

EMC and Greenplum Dress Elephant for IT Parade
8 December 2011, WIRED

EMC Introduces Breakthrough 'Big Data' Computing System
13 October 2010, PR Newswire

Has the time finally come for PostgreSQL?
20 April 2018, ZDNet

provided by Google News

New solutions for Oracle WebLogic on Azure Virtual Machines
1 April 2021, Microsoft

Nike achieves scalability and performance with Oracle Coherence & Exadata
20 December 2012, blogs.oracle.com

Oracle Patch Update, January 2024 Security Update Review
17 January 2024, Qualys Blog

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2 July 2008, ITPro

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2 April 2013, Embedded

provided by Google News

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