DBMS > EsgynDB vs. HugeGraph vs. InterSystems Caché vs. Linter

System Properties Comparison EsgynDB vs. HugeGraph vs. InterSystems Caché vs. Linter

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

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

RDBMS for high security requirements

Primary database model

Relational DBMS

Graph DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Relational DBMS

Secondary database models

Document store

Spatial DBMS

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

Score	0.21
Rank	#288	Overall
	#134	Relational DBMS

Score	0.22
Rank	#286	Overall
	#22	Graph DBMS

Score	3.01
Rank	#104	Overall
	#19	Key-value stores
	#1	Object oriented DBMS
	#53	Relational DBMS

Score	0.11
Rank	#309	Overall
	#142	Relational DBMS

Website

www.esgyn.cn

github.com/hugegraph

www.intersystems.com/products/cache

linter.ru/en

Technical documentation

hugegraph.github.io/hugegraph-doc

docs.intersystems.com

Developer

Esgyn

Baidu

InterSystems

relex.ru/en

Initial release

2015

2018

1997

1990

Current release

0.9

2018.1.4, May 2020

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++, Java

Java

C and C++

Server operating systems

Linux

Linux
macOS
Unix

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

AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows

Data scheme

yes

depending on used data model

yes

Typing

predefined data types such as float or date

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.

yes

Secondary indexes

yes

also supports composite index and range index

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

Java API
RESTful HTTP API
TinkerPop Gremlin

.NET Client API
JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)

Supported programming languages

All languages supporting JDBC/ODBC/ADO.Net

Groovy
Java
Python

C#
C++
Java

C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl

Server-side scripts

Stored procedures

Java Stored Procedures

asynchronous Gremlin script jobs

yes

proprietary syntax with the possibility to convert from PL/SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

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

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

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via hugegraph-spark

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

edges in graph

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users, roles and permissions

Access rights for users, groups and roles

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

InterSystems
22 July 2019, International Spectrum Magazine

Halfaker and Associates, LLC | US GAO
2 February 2022, Government Accountability Office (.gov)

AWS, GCP, Oracle, Azure, SAP lead cloud DBMS market: Gartner
15 February 2022, CRN Australia

Multivalue Database Listing
10 January 2019, International Spectrum Magazine

The World Has Changed – Why Haven’t Database Designs?
25 March 2021, The Next Platform

provided by Google News

Job opportunities

Manager, Solution Architect - DAS Project Omnia
Deloitte, Horsham, PA

Manager, Solution Architect - DAS Project Omnia
Deloitte, Davenport, IA

Manager, Solution Architect - DAS Project Omnia
Deloitte, Gilbert, AZ

Manager, Solution Architect - DAS Project Omnia
Deloitte, Newtown Square, PA

Manager, Solution Architect - DAS Project Omnia
Deloitte, Honolulu, HI

Web Developer (Cache)
The Evolvers Group, Tallahassee, FL

Software Developer
Initiate Government Solutions, Remote

Test Engineer
Initiate Government Solutions, Remote

SR. CACHE DEVELOPER
University of Washington, Seattle, WA

LEAD CACHE DEVELOPER
University of Washington, Seattle, WA

jobs by

Share this page