DBMS > Atos Standard Common Repository vs. BigchainDB vs. ClickHouse vs. Dgraph vs. Google Cloud Bigtable

Vergleich der Systemeigenschaften Atos Standard Common Repository vs. BigchainDB vs. ClickHouse vs. Dgraph vs. Google Cloud Bigtable

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Name

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

Kurzbeschreibung

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

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.

Verteiltes, skalierbares Graph DBMS

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Primäres Datenbankmodell

Document Store
Key-Value Store

Document Store

Relational DBMS

Graph DBMS

Key-Value Store
Wide Column Store

Sekundäre Datenbankmodelle

Time Series DBMS

DB-Engines Ranking misst die Popularität von Datenbankmanagement- systemen
Trend Chart

Punkte	0,76
Rang	#216	Overall
	#36	Document Stores

Punkte	15,88
Rang	#37	Overall
	#22	Relational DBMS

Punkte	1,39
Rang	#155	Overall
	#15	Graph DBMS

Punkte	2,97
Rang	#92	Overall
	#15	Key-Value Stores
	#8	Wide Column Stores

Website

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

www.bigchaindb.com

clickhouse.com

dgraph.io

cloud.google.com/bigtable

Technische Dokumentation

bigchaindb.readthedocs.io/en/latest

clickhouse.com/docs

dgraph.io/docs

cloud.google.com/bigtable/docs

Entwickler

Atos Convergence Creators

Clickhouse Inc.

Dgraph Labs, Inc.

Google

Erscheinungsjahr

2016

2015

Aktuelle Version

1703

v24.6.2.17-stable, Juli 2024

Lizenz

Commercial or Open Source

kommerziell

Open Source

AGPL v3

Open Source

Apache 2.0

Open Source

Apache 2.0

kommerziell

Ausschließlich ein Cloud-Service

Nur als Cloud-Service verfügbar

nein

DBaaS Angebote (gesponserte Links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.

Implementierungssprache

Java

Python

C++

Server Betriebssysteme

Linux

FreeBSD
Linux
macOS

Linux
OS X
Windows

gehostet

Datenschema

Schema and schema-less with LDAP views

schemafrei

Typisierung

vordefinierte Datentypen, z.B. float oder date

optional

nein

XML Unterstützung

Verarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLT

nein

Sekundärindizes

yes

nein

SQL

Support of SQL

nein

Close to ANSI SQL (SQL/JSON + extensions)

nein

APIs und andere Zugriffskonzepte

LDAP

CLI Client
RESTful HTTP API

gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll

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

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

Unterstützte Programmiersprachen

All languages with LDAP bindings

Go
Haskell
Java
JavaScript
Python
Ruby

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Rust
Scala

3rd party library

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

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

Server-seitige Scripts

Stored Procedures

nein

Triggers

nein

Partitionierungsmechanismen

Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten

Sharding

cell division

Sharding

key based and custom

Sharding

Replikationsmechanismen

Methoden zum redundanten Speichern von Daten auf mehreren Knoten

frei wählbarer Replikationsfaktor

Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.

Synchronous replication via Raft

Internal replication in Colossus, and regional replication between two clusters in different zones

MapReduce

Bietet ein API für Map/Reduce Operationen

nein

Konsistenzkonzept

Methoden zur Sicherstellung der Konsistenz in einem verteilten System

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

Fremdschlüssel

referenzielle Integrität

nein

Transaktionskonzept

Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen

Atomic execution of specific operations

nein

ACID

Atomic single-row operations

Concurrency

Unterstützung von gleichzeitig ausgeführten Datenmanipulationen

Durability

Dauerhafte Speicherung der Daten

yes,with MongoDB ord RethinkDB

In-Memory Unterstützung

Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten

nein

Berechtigungskonzept

Zugriffskontrolle

LDAP bind authentication

yes

Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.

nein

Planned for future releases

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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Zugehörige Produkte und Dienstleistungen

Drittanbieter

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