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DBMS > GBase vs. IBM Cloudant vs. Lovefield vs. Oracle vs. SQL.JS

System Properties Comparison GBase vs. IBM Cloudant vs. Lovefield vs. Oracle vs. SQL.JS

Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Database as a Service offering based on Apache CouchDB

Embeddable relational database for web apps written in pure JavaScript

Widely used RDBMS

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Relational DBMS

Relational DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

with Oracle Spatial and Graph
RDF store

with Oracle Spatial and Graph
Spatial DBMS

with Oracle Spatial and Graph
Vector DBMS

since Oracle 23

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

Score	1.11
Rank	#173	Overall
	#78	Relational DBMS

Score	2.85
Rank	#95	Overall
	#18	Document stores

Score	0.22
Rank	#306	Overall
	#138	Relational DBMS

Score	1286.59
Rank	#1	Overall
	#1	Relational DBMS

Score	0.53
Rank	#246	Overall
	#115	Relational DBMS

Website

www.ibm.com/products/cloudant

google.github.io/lovefield

www.oracle.com/database

Technical documentation

cloud.ibm.com/docs/Cloudant

github.com/google/lovefield/blob/master/docs/spec_index.md

docs.oracle.com/en/database

sql.js.org/documentation/index.html

Developer

General Data Technology Co., Ltd.

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

Google

Oracle

Alon Zakai

enhancements implemented by others

Initial release

2004

2010

2014

1980

2012

Current release

GBase 8a, GBase 8s, GBase 8c

2.1.12, February 2017

23c, September 2023

License

Commercial or Open Source

commercial

commercial

Open Source

Apache 2.0

commercial

restricted free version is available

Open Source

Cloud-based only

Only available as a cloud service

no

yes

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, Java, Python

Erlang

JavaScript

C and C++

JavaScript

Server operating systems

Linux

hosted

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

tested with Chrome, Firefox, IE, Safari

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

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

Data scheme

yes

schema-free

yes

yes

Schemaless in JSON and XML columns

yes

Typing

predefined data types such as float or date

yes

no

yes

yes

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

no

no

yes

no

Secondary indexes

yes

yes

yes

yes

SQL

Support of SQL

Standard with numerous extensions

no

SQL-like query language

via JavaScript builder pattern

yes

with proprietary extensions

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

RESTful HTTP/JSON API

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

JavaScript API

Supported programming languages

C#

C#
Java
JavaScript
Objective-C
PHP
Ruby

JavaScript

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

JavaScript

Server-side scripts

Stored procedures

user defined functions

View functions (Map-Reduce) in JavaScript

no

PL/SQL

also stored procedures in Java possible

no

Triggers

yes

yes

Using read-only observers

yes

no

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

none

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

none

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

no

can be realized in PL/SQL

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

no

yes

yes

yes

Transaction concepts

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

ACID

no

atomic operations within a document possible

ACID

ACID

isolation level can be parameterized

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Optimistic locking

yes

yes

Durability

Support for making data persistent

yes

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

no

except by serializing a db to a file

In-memory capabilities

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

no

yes

using MemoryDB

yes

Version 12c introduced the new option 'Oracle Database In-Memory'

yes

User concepts

Access control

yes

Access rights for users can be defined per database

no

fine grained access rights according to SQL-standard

no

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