DBMS > Galaxybase vs. Geode vs. Oracle Rdb vs. PouchDB

System Properties Comparison Galaxybase vs. Geode vs. Oracle Rdb vs. PouchDB

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Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant native distributed parallel graph platform

Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes

JavaScript DBMS with an API inspired by CouchDB

Primary database model

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

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Score	1.51
Rank	#147	Overall
	#25	Key-value stores

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Score	2.18
Rank	#114	Overall
	#21	Document stores

Website

galaxybase.com

geode.apache.org

www.oracle.com/database/technologies/related/rdb.html

pouchdb.com

Technical documentation

geode.apache.org/docs

www.oracle.com/database/technologies/related/rdb-doc.html

pouchdb.com/guides

Developer

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.

Oracle, originally developed by Digital Equipment Corporation (DEC)

Apache Software Foundation

Initial release

2017

2002

1984

2012

Current release

Nov 20, November 2021

1.1, February 2017

7.4.1.1, 2021

7.1.1, June 2019

License

Commercial or Open Source

commercial

Open Source

Apache Version 2; commercial licenses available as Gemfire

commercial

Open Source

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 and Java

Java

JavaScript

Server operating systems

Linux

All OS with a Java VM

the JDK (8 or later) is also required

HP Open VMS

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

Strong typed schema

schema-free

Flexible Schema (defined schema, partial schema, schema free)

schema-free

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

via views

SQL

Support of SQL

SQL-like query language (OQL)

yes

APIs and other access methods

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

Java Client API
Memcached protocol
RESTful HTTP API

HTTP REST

only for PouchDB Server
JavaScript API

Supported programming languages

Go
Java
Python

.Net
All JVM based languages
C++
Groovy
Java
Scala

JavaScript

Server-side scripts

Stored procedures

user defined procedures and functions

user defined functions

View functions in JavaScript

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

with a proxy-based framework, named couchdb-lounge

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

also with CouchDB databases
Source-replica replication

also with CouchDB databases

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

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

ACID

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, WebSQL or LevelDB as backend

In-memory capabilities

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

yes

User concepts

Access control

Role-based access control

Access rights per client and object definable

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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