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

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

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

A fast-speed and highly-scalable Graph DBMS

Port of SQLite to JavaScript

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Relational DBMS

Relational DBMS

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

Score	0.13
Rank	#342	Overall
	#150	Relational DBMS

Score	1.76
Rank	#145	Overall
	#66	Relational DBMS

Score	0.15
Rank	#339	Overall
	#33	Graph DBMS

Score	0.57
Rank	#248	Overall
	#114	Relational DBMS

Website

www.datomic.com

github.com/hugegraph
hugegraph.apache.org

Technical documentation

docs.bigobject.io

docs.datomic.com

hugegraph.apache.org/docs

sql.js.org/documentation/index.html

Developer

BigObject, Inc.

Cognitect

Baidu

Alon Zakai

enhancements implemented by others

Initial release

2015

2012

2018

2012

Current release

1.0.6735, June 2023

0.9

License

Commercial or Open Source

commercial

free community edition available

commercial

limited edition free

Open Source

Apache Version 2.0

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, Clojure

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)

All OS with a Java VM

Linux
macOS
Unix

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

yes

also supports composite index and range index

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

RESTful HTTP API

Java API
RESTful HTTP API
TinkerPop Gremlin

JavaScript API

Supported programming languages

Clojure
Java

Groovy
Java
Python

JavaScript

Server-side scripts

Stored procedures

Lua

yes

Transaction Functions

asynchronous Gremlin script jobs

no

Triggers

no

By using transaction functions

no

no

Partitioning methods

Methods for storing different data on different nodes

none

none

But extensive use of caching in the application peers

yes

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

none

But extensive use of caching in the application peers

yes

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

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

no

via hugegraph-spark

no

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

no

yes

edges in graph

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

yes

Durability

Support for making data persistent

yes

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

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

recommended only for testing and development

yes

yes

User concepts

Access control

no

no

Users, roles and permissions

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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