DBMS > Atos Standard Common Repository vs. DuckDB vs. etcd vs. OrigoDB

System Properties Comparison Atos Standard Common Repository vs. DuckDB vs. etcd vs. OrigoDB

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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

An embeddable, in-process, column-oriented SQL OLAP RDBMS

A distributed reliable key-value store

A fully ACID in-memory object graph database

Primary database model

Document store
Key-value store

Relational DBMS

Key-value store

Document store
Object oriented DBMS

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

Score	4.63
Rank	#69	Overall
	#37	Relational DBMS

Score	7.03
Rank	#54	Overall
	#5	Key-value stores

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#18	Object oriented DBMS

Website

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

duckdb.org

etcd.io
github.com/etcd-io/etcd

origodb.com

Technical documentation

duckdb.org/docs

etcd.io/docs
github.com/etcd-io/etcd/tree/master/Documentation

origodb.com/docs

Developer

Atos Convergence Creators

Robert Friberg et al

Initial release

2016

2018

2009

under the name LiveDB

Current release

1703

1.0.0, June 2024

3.4, August 2019

License

Commercial or Open Source

commercial

Open Source

MIT License

Open Source

Apache Version 2.0

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++

Server operating systems

Linux

server-less

FreeBSD
Linux
Windows

experimental

Linux
Windows

Data scheme

Schema and schema-less with LDAP views

yes

schema-free

yes

Typing

predefined data types such as float or date

optional

yes

User defined using .NET types and collections

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

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

LDAP

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

gRPC
JSON over HTTP

.NET Client API
HTTP API
LINQ

Supported programming languages

All languages with LDAP bindings

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl

.Net

Server-side scripts

Stored procedures

yes

Triggers

yes

yes, watching key changes

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

none

horizontal partitioning

client side managed; servers are not synchronized

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

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

Foreign keys

Referential integrity

depending on model

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

Write ahead log

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 authorization

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