DBMS > Firebase Realtime Database vs. InterSystems Caché vs. jBASE vs. OushuDB

System Properties Comparison Firebase Realtime Database vs. InterSystems Caché vs. jBASE vs. OushuDB

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

A multi-model DBMS and application server

A robust multi-value DBMS comprising development tools and middleware

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Primary database model

Document store

Key-value store
Object oriented DBMS
Relational DBMS

Multivalue DBMS

Relational DBMS

Secondary database models

Document store

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

Score	13.64
Rank	#39	Overall
	#6	Document stores

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Website

firebase.google.com/products/realtime-database

www.intersystems.com/products/cache

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

www.oushu.com/product/oushuDB

Technical documentation

firebase.google.com/docs/database

docs.intersystems.com

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

www.oushu.com/documentation

Developer

Google

acquired by Google 2014

InterSystems

Rocket Software (formerly Zumasys)

Oushu

Initial release

2012

1997

1991

Current release

2018.1.4, May 2020

5.7

4.0.1, August 2020

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Server operating systems

hosted

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

AIX
Linux
Windows

Linux

Data scheme

schema-free

depending on used data model

schema-free

yes

Typing

predefined data types such as float or date

yes

optional

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

Secondary indexes

yes

SQL

Support of SQL

yes

Embedded SQL for jBASE in BASIC

Full-featured ANSI SQL support

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

.NET Client API
JDBC
ODBC
RESTful HTTP API

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

JDBC
ODBC

Supported programming languages

Java
JavaScript
Objective-C

C#
C++
Java

.Net
Basic
Jabbascript
Java

C
C++

Server-side scripts

Stored procedures

limited functionality with using 'rules'

yes

Triggers

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

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, based on authentication and database rules

Access rights for users, groups and roles

Access rights can be defined down to the item level

Kerberos, SSL and role based access

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More resources

DB-Engines blog posts

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