DBMS > Atos Standard Common Repository vs. OrientDB vs. Quasardb vs. SQLite

System Properties Comparison Atos Standard Common Repository vs. OrientDB vs. Quasardb vs. SQLite

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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

Multi-model DBMS (Document, Graph, Key/Value)

Distributed, high-performance timeseries database

Widely used embeddable, in-process RDBMS

Primary database model

Document store
Key-value store

Document store
Graph DBMS
Key-value store

Time Series DBMS

Relational DBMS

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

Score	5.14
Rank	#79	Overall
	#14	Document stores
	#5	Graph DBMS
	#12	Key-value stores

Score	0.11
Rank	#310	Overall
	#28	Time Series DBMS

Score	134.73
Rank	#10	Overall
	#7	Relational DBMS

Website

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

orientdb.org

quasardb.net

www.sqlite.org

Technical documentation

www.orientdb.com/docs/last/index.html

doc.quasar.ai/master

www.sqlite.org/docs.html

Developer

Atos Convergence Creators

OrientDB LTD; CallidusCloud; SAP

quasardb

Dwayne Richard Hipp

Initial release

2016

2010

2009

2000

Current release

1703

3.1.9, February 2021

3.13.3, April 2022

3.38.4 (4 May 2022), May 2022

License

Commercial or Open Source

commercial

Open Source

Apache version 2

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

Open Source

Public Domain

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

All OS with a Java JDK (>= JDK 6)

BSD
Linux
OS X
Windows

server-less

Data scheme

Schema and schema-less with LDAP views

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

schema-free

yes

dynamic column types

Typing

predefined data types such as float or date

optional

yes

integer and binary

yes

not rigid because of 'dynamic typing' concept.

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

with tags

yes

SQL

Support of SQL

SQL-like query language, no joins

SQL-like query language

yes

SQL-92 is not fully supported

APIs and other access methods

LDAP

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

HTTP API

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

Supported programming languages

All languages with LDAP bindings

.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala

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

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts

Stored procedures

Java, Javascript

Triggers

yes

Hooks

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Sharding

consistent hashing

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

Source-replica replication with selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

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

via file-system locks

Durability

Support for making data persistent

yes

by using LevelDB

yes

In-memory capabilities

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

yes

Transient mode

yes

User concepts

Access control

LDAP bind authentication

Access rights for users and roles; record level security configurable

Cryptographically strong user authentication and audit trail

More information provided by the system vendor

Specific characteristics

High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more

Competitive advantages

High performance in a cost-effective small package Real-time results for even large...
» more

Typical application scenarios

Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more

Key customers

Large EU investment banks US based hedge funds Orolia Tellmeplus
» more

Market metrics

Has been running in very demanding production environments since 2013 Rapid adoption...
» more

Licensing and pricing models

Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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