DBMS > Atos Standard Common Repository vs. EsgynDB vs. GBase vs. InterSystems Caché vs. Oracle Coherence

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. GBase vs. InterSystems Caché vs. Oracle Coherence

Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

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

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

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

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

A multi-model DBMS and application server

Oracles in-memory data grid solution

Primary database model

Document store
Key-value store

Relational DBMS

Key-value store
Object oriented DBMS
Relational DBMS

Key-value store

Secondary database models

Document store

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

Score	0.15
Rank	#325	Overall
	#144	Relational DBMS

Score	1.11
Rank	#173	Overall
	#78	Relational DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

www.esgyn.cn

www.gbase.cn

www.intersystems.com/products/cache

www.oracle.com/java/coherence

Technical documentation

docs.intersystems.com

docs.oracle.com/en/middleware/standalone/coherence

Developer

Atos Convergence Creators

Esgyn

General Data Technology Co., Ltd.

InterSystems

Oracle

Initial release

2016

2015

2004

1997

2007

Current release

1703

GBase 8a, GBase 8s, GBase 8c

2018.1.4, May 2020

14.1, August 2023

License

Commercial or Open Source

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

Java

C++, Java

C, Java, Python

Java

Server operating systems

Linux

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

All OS with a Java VM

Data scheme

Schema and schema-less with LDAP views

yes

depending on used data model

schema-free

Typing

predefined data types such as float or date

optional

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

SQL

Support of SQL

yes

Standard with numerous extensions

yes

APIs and other access methods

LDAP

ADO.NET
JDBC
ODBC

ADO.NET
C API
JDBC
ODBC

.NET Client API
JDBC
ODBC
RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

All languages with LDAP bindings

All languages supporting JDBC/ODBC/ADO.Net

C#
C++
Java

.Net
C++
Java

Server-side scripts

Stored procedures

Java Stored Procedures

user defined functions

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding

horizontal partitioning (by range, list and hash) and vertical partitioning

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication between multi datacenters

yes

Source-replica replication

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of specific operations

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

In-memory capabilities

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

yes

User concepts

Access control

LDAP bind authentication

fine grained access rights according to SQL-standard

yes

Access rights for users, groups and roles

authentification to access the cache via certificates or http basic authentication

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