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DBMS > BigObject vs. HugeGraph vs. Realm vs. SQL.JS

System Properties Comparison BigObject vs. HugeGraph vs. Realm vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

A fast-speed and highly-scalable Graph DBMS

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Port of SQLite to JavaScript

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

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

Score	0.13
Rank	#333	Overall
	#147	Relational DBMS

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	7.60
Rank	#52	Overall
	#9	Document stores

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

Technical documentation

docs.bigobject.io

hugegraph.apache.org/docs

sql.js.org/documentation/index.html

Developer

BigObject, Inc.

Baidu

Realm, acquired by MongoDB in May 2019

Alon Zakai

enhancements implemented by others

Initial release

2015

2018

2014

2012

Current release

0.9

License

Commercial or Open Source

commercial

free community edition available

Open Source

Apache Version 2.0

Open Source

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

JavaScript

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux
macOS
Unix

Android
Backend: server-less
iOS
Windows

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

Data scheme

yes

yes

yes

yes

Typing

predefined data types such as float or date

yes

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.

no

no

no

no

Secondary indexes

yes

yes

also supports composite index and range index

yes

SQL

Support of SQL

SQL-like DML and DDL statements

no

no

yes

SQL-92 is not fully supported

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

Java API
RESTful HTTP API
TinkerPop Gremlin

JavaScript API

Supported programming languages

Groovy
Java
Python

.Net
Java

with Android only
Objective-C
React Native
Swift

JavaScript

Server-side scripts

Stored procedures

Lua

asynchronous Gremlin script jobs

no

runs within the applications so server-side scripts are unnecessary

no

Triggers

no

no

yes

Change Listeners

no

Partitioning methods

Methods for storing different data on different nodes

none

yes

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

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

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

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

via hugegraph-spark

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Eventual Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

edges in graph

no

yes

Transaction concepts

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

no

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

yes

yes

In-Memory realm

yes

User concepts

Access control

no

Users, roles and permissions

yes

no

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More resources

DB-Engines blog posts

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