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DBMS > EsgynDB vs. HugeGraph vs. InterSystems Caché vs. SQL.JS

System Properties Comparison EsgynDB vs. HugeGraph vs. InterSystems Caché vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.

Description

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

A fast-speed and highly-scalable Graph DBMS

A multi-model DBMS and application server

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Secondary database models

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

Score	0.16
Rank	#329	Overall
	#146	Relational DBMS

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

www.intersystems.com/products/cache

Technical documentation

hugegraph.apache.org/docs

docs.intersystems.com

sql.js.org/documentation/index.html

Developer

Esgyn

Baidu

InterSystems

Alon Zakai

enhancements implemented by others

Initial release

2015

2018

1997

2012

Current release

0.9

2018.1.4, May 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

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

C++, Java

Java

JavaScript

Server operating systems

Linux

Linux
macOS
Unix

AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows

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

Data scheme

yes

yes

depending on used data model

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

yes

no

Secondary indexes

yes

yes

also supports composite index and range index

yes

SQL

Support of SQL

yes

no

yes

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
JDBC
ODBC

Java API
RESTful HTTP API
TinkerPop Gremlin

.NET Client API
JDBC
ODBC
RESTful HTTP API

JavaScript API

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

Groovy
Java
Python

C#
C++
Java

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures

asynchronous Gremlin script jobs

yes

no

Triggers

no

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

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

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication between multi datacenters

yes

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

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via hugegraph-spark

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

yes

yes

edges in graph

yes

yes

Transaction concepts

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

ACID

ACID

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

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.

no

yes

yes

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users, roles and permissions

Access rights for users, groups and roles

no

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More resources

DB-Engines blog posts

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