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DBMS > HugeGraph vs. IBM Cloudant vs. JaguarDB vs. SQL.JS

System Properties Comparison HugeGraph vs. IBM Cloudant vs. JaguarDB vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

A fast-speed and highly-scalable Graph DBMS

Database as a Service offering based on Apache CouchDB

Performant, highly scalable DBMS for AI and IoT applications

Port of SQLite to JavaScript

Primary database model

Key-value store
Vector DBMS

Relational DBMS

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

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	2.68
Rank	#106	Overall
	#20	Document stores

Score	0.00
Rank	#383	Overall
	#60	Key-value stores
	#13	Vector DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

www.ibm.com/products/cloudant

www.jaguardb.com

Technical documentation

hugegraph.apache.org/docs

cloud.ibm.com/docs/Cloudant

www.jaguardb.com/support.html

sql.js.org/documentation/index.html

Developer

Baidu

IBM, Apache Software Foundation

IBM acquired Cloudant in February 2014

DataJaguar, Inc.

Alon Zakai

enhancements implemented by others

Initial release

2018

2010

2015

2012

Current release

0.9

3.3 July 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

GPL V3.0

Open Source

Cloud-based only

Only available as a cloud service

no

yes

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Erlang

C++

the server part. Clients available in other languages

JavaScript

Server operating systems

Linux
macOS
Unix

hosted

Linux

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

Data scheme

yes

schema-free

yes

yes

Typing

predefined data types such as float or date

yes

no

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.

no

no

no

no

Secondary indexes

yes

also supports composite index and range index

yes

yes

SQL

Support of SQL

no

no

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

SQL-92 is not fully supported

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

RESTful HTTP/JSON API

JDBC
ODBC

JavaScript API

Supported programming languages

Groovy
Java
Python

C#
Java
JavaScript
Objective-C
PHP
Ruby

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

JavaScript

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

View functions (Map-Reduce) in JavaScript

no

no

Triggers

no

yes

no

no

Partitioning methods

Methods for storing different data on different nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

Multi-source replication
Source-replica replication

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Eventual Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

yes

edges in graph

no

no

yes

Transaction concepts

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

ACID

no

atomic operations within a document possible

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Optimistic locking

yes

Durability

Support for making data persistent

yes

yes

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.

yes

no

no

yes

User concepts

Access control

Users, roles and permissions

Access rights for users can be defined per database

rights management via user accounts

no

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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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