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DBMS > AnzoGraph DB vs. EJDB vs. SQL.JS

System Properties Comparison AnzoGraph DB vs. EJDB vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Port of SQLite to JavaScript

Primary database model

Graph DBMS
RDF store

Relational DBMS

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

Score	0.29
Rank	#303	Overall
	#25	Graph DBMS
	#14	RDF stores

Score	0.31
Rank	#296	Overall
	#44	Document stores

Score	0.63
Rank	#241	Overall
	#112	Relational DBMS

Website

cambridgesemantics.com/anzograph

github.com/Softmotions/ejdb

Technical documentation

docs.cambridgesemantics.com/anzograph/userdoc/home.htm

github.com/Softmotions/ejdb/blob/master/README.md

sql.js.org/documentation/index.html

Developer

Cambridge Semantics

Softmotions

Alon Zakai

enhancements implemented by others

Initial release

2018

2012

2012

Current release

2.3, January 2021

License

Commercial or Open Source

commercial

free trial version available

Open Source

GPLv2

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C

JavaScript

Server operating systems

Linux

server-less

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

Data scheme

Schema-free and OWL/RDFS-schema support

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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

Secondary indexes

no

no

SQL

Support of SQL

SPARQL and SPARQL* as primary query language. Cypher preview.

no

yes

SQL-92 is not fully supported

APIs and other access methods

Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL

in-process shared library

JavaScript API

Supported programming languages

C++
Java
Python

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

JavaScript

Server-side scripts

Stored procedures

user defined functions and aggregates

no

no

Triggers

no

no

no

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication in MPP-Cluster

none

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Kerberos/HDFS data loading

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency in MPP-Cluster

none

Foreign keys

Referential integrity

no

not needed in graphs

no

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

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

ACID

no

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

Read/Write Locking

Durability

Support for making data persistent

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

User concepts

Access control

Access rights for users and roles

no

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

Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell
20 September 2019, Towards Data Science

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