DBMS > Atos Standard Common Repository vs. BaseX vs. Dgraph vs. H2 vs. Oracle Coherence

System Properties Comparison Atos Standard Common Repository vs. BaseX vs. Dgraph vs. H2 vs. Oracle Coherence

Editorial information provided by DB-Engines

Name

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

Description

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

Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.

Distributed and scalable native Graph DBMS

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Oracles in-memory data grid solution

Primary database model

Document store
Key-value store

Secondary database models

Spatial DBMS

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

Score	1.84
Rank	#135	Overall
	#4	Native XML DBMS

Score	1.53
Rank	#152	Overall
	#15	Graph DBMS

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Website

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

basex.org

dgraph.io

www.h2database.com

www.oracle.com/java/coherence

Technical documentation

docs.basex.org

dgraph.io/docs

www.h2database.com/html/main.html

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

Developer

Atos Convergence Creators

BaseX GmbH

Dgraph Labs, Inc.

Thomas Mueller

Oracle

Initial release

2016

2007

2016

2005

2007

Current release

1703

11.0, June 2024

2.2.220, July 2023

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

BSD license

Open Source

Apache 2.0

Open Source

dual-licence (Mozilla public license, Eclipse public license)

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

Server operating systems

Linux

Linux
OS X
Windows

All OS with a Java VM

Data scheme

Schema and schema-less with LDAP views

schema-free

yes

schema-free

Typing

predefined data types such as float or date

optional

XQuery supports types

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

APIs and other access methods

LDAP

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

JDBC
ODBC

JCache
JPA
RESTful HTTP API

Supported programming languages

All languages with LDAP bindings

Actionscript
C
C#
Haskell
Java
JavaScript

Node.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic

C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Java

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Java Stored Procedures and User-Defined Functions

Triggers

yes

via events

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

yes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Synchronous replication via Raft

With clustering: 2 database servers on different computers operate on identical copies of a database

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

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

multiple readers, single writer

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

Users with fine-grained authorization concept on 4 levels

Planned for future releases

fine grained access rights according to SQL-standard

authentification to access the cache via certificates or http basic authentication

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