DBMS > Atos Standard Common Repository vs. atoti vs. CockroachDB vs. DataFS vs. ToroDB

System Properties Comparison Atos Standard Common Repository vs. atoti vs. CockroachDB vs. DataFS vs. ToroDB

Editorial information provided by DB-Engines

Name

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

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

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

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Primary database model

Document store
Key-value store

Secondary database models

Graph DBMS

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	6.15
Rank	#55	Overall
	#33	Relational DBMS

Score	0.06
Rank	#354	Overall
	#15	Object oriented DBMS

Website

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

atoti.io

www.cockroachlabs.com

newdatabase.com

github.com/torodb/server

Technical documentation

docs.atoti.io

www.cockroachlabs.com/docs

dev.mobiland.com/Overview.xsp

Developer

Atos Convergence Creators

ActiveViam

Cockroach Labs

Mobiland AG

8Kdata

Initial release

2016

2015

2018

2016

Current release

1703

23.1.1, May 2023

1.1.263, October 2022

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache 2.0, commercial license available

commercial

Open Source

AGPL-V3

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
macOS
Windows

Windows

All OS with a Java 7 VM

Data scheme

Schema and schema-less with LDAP views

dynamic schema

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

schema-free

Typing

predefined data types such as float or date

optional

yes

string, integer, double, boolean, date, object_id

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

Multidimensional Expressions (MDX)

yes, wire compatible with PostgreSQL

APIs and other access methods

LDAP

JDBC

.NET Client API
Proprietary client DLL
WinRT client

Supported programming languages

All languages with LDAP bindings

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

.Net
C
C#
C++
VB.Net

Server-side scripts

Stored procedures

Python

Triggers

yes

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding, horizontal partitioning

horizontal partitioning (by key range)

all tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFT

Proprietary Sharding system

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication using RAFT

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

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

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

Role-based access control

Windows-Profile

Access rights for users and roles

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More resources

Recent citations in the news

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28 November 2023, Risk.net

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6 November 2023, AWS Blog

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29 January 2024, The Register

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