DBMS > Atos Standard Common Repository vs. BaseX vs. Geode vs. OpenMLDB

System Properties Comparison Atos Standard Common Repository vs. BaseX vs. Geode vs. OpenMLDB

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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.

Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes

An open-source machine learning database that provides a feature platform for training and inference

Primary database model

Document store
Key-value store

Native XML DBMS

Key-value store

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	1.73
Rank	#142	Overall
	#4	Native XML DBMS

Score	1.92
Rank	#131	Overall
	#23	Key-value stores

Score	0.02
Rank	#367	Overall
	#37	Time Series DBMS

Website

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

basex.org

geode.apache.org

openmldb.ai

Technical documentation

docs.basex.org

geode.apache.org/docs

openmldb.ai/docs/zh/main

Developer

Atos Convergence Creators

BaseX GmbH

Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.

4 Paradigm Inc.

Initial release

2016

2007

2002

2020

Current release

1703

10.7, August 2023

1.1, February 2017

2024-2 February 2024

License

Commercial or Open Source

commercial

Open Source

BSD license

Open Source

Apache Version 2; commercial licenses available as Gemfire

Open Source

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, Scala

Server operating systems

Linux

Linux
OS X
Windows

All OS with a Java VM

the JDK (8 or later) is also required

Linux

Data scheme

Schema and schema-less with LDAP views

schema-free

Fixed schema

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

SQL-like query language (OQL)

yes

APIs and other access methods

LDAP

Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ

Java Client API
Memcached protocol
RESTful HTTP API

JDBC
SQLAlchemy

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

.Net
All JVM based languages
C++
Groovy
Java
Scala

C++
Go
Java
Python
Scala

Server-side scripts

Stored procedures

yes

user defined functions

Triggers

yes

via events

yes

Cache Event Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Multi-source replication

Source-replica replication

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

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

Atomic execution of specific operations

multiple readers, single writer

yes, on a single node

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

LDAP bind authentication

Users with fine-grained authorization concept on 4 levels

Access rights per client and object definable

fine grained access rights according to SQL-standard

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