DBMS > Faircom DB vs. Manticore Search vs. MongoDB vs. Oracle vs. TypeDB

Vergleich der Systemeigenschaften Faircom DB vs. Manticore Search vs. MongoDB vs. Oracle vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines

Name

Kurzbeschreibung

Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.

Multi-storage database for search, including full-text search.

Einer der meistverwendeten Document Stores

Weit verbreitetes, allgemein einsetzbares RDBMS

TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language

Primäres Datenbankmodell

Key-Value Store
Relational DBMS

Suchmaschine

Document Store

Relational DBMS

Graph DBMS
Relational DBMS

Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.

Sekundäre Datenbankmodelle

Time Series DBMS

using the Manticore Columnar Library

Spatial DBMS
Suchmaschine

integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS

Time Series Collections introduced in Release 5.0
Vektor DBMS

currently available in the MongoDB Atlas cloud service only

Document Store
Graph DBMS

with Oracle Spatial and Graph
RDF Store

with Oracle Spatial and Graph
Spatial DBMS

with Oracle Spatial and Graph
Vektor DBMS

since Oracle 23

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

Punkte	0,29
Rang	#304	Overall
	#43	Key-Value Stores
	#136	Relational DBMS

Punkte	0,29
Rang	#302	Overall
	#21	Suchmaschinen

Punkte	421,08
Rang	#5	Overall
	#1	Document Stores

Punkte	1244,08
Rang	#1	Overall
	#1	Relational DBMS

Punkte	0,70
Rang	#230	Overall
	#20	Graph DBMS
	#106	Relational DBMS

Website

www.faircom.com/products/faircom-db

manticoresearch.com

www.mongodb.com

www.oracle.com/database

typedb.com

Technische Dokumentation

docs.faircom.com/docs/en/UUID-7446ae34-a1a7-c843-c894-d5322e395184.html

manual.manticoresearch.com

www.mongodb.com/docs/manual

docs.oracle.com/en/database

typedb.com/docs

Entwickler

FairCom Corporation

Manticore Software

MongoDB, Inc

Oracle

Vaticle

Erscheinungsjahr

1979

2017

2009

1980

2016

Aktuelle Version

V12, November 2020

6.0, Februar 2023

6.0.7, Juni 2023

23c, September 2023

2.26.3, Jaenner 2024

Lizenz

Commercial or Open Source

kommerziell

Restricted, free version available

Open Source

GPL Version 2

Open Source

MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.

kommerziell

eingeschränkte kostenlose Version verfügbar

Open Source

GPL Version 3, commercial licenses available

Ausschließlich ein Cloud-Service

Nur als Cloud-Service verfügbar

nein

MongoDB available as DBaaS (MongoDB Atlas)

nein

DBaaS Angebote (gesponserte Links)

Database as a Service

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

MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.

Implementierungssprache

ANSI C, C++

C++

C und C++

Java

Server Betriebssysteme

AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows

easily portable to other OSs

FreeBSD
Linux
macOS
Windows

Linux
OS X
Solaris
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

Linux
OS X
Windows

Datenschema

schema free, schema optional, schema required, partial schema,

Fixed schema

schemafrei

Obwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Struktur

Schemaless in JSON and XML columns

Typisierung

vordefinierte Datentypen, z.B. float oder date

ja, ANSI Standard SQL Types, JSON, typed binary structures

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

string, integer, double, decimal, boolean, date, object_id, geospatial

XML Unterstützung

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

nein

Can index from XML

nein

Sekundärindizes

Full-Text Index auf allen Suchfeldern

SQL

Support of SQL

yes, ANSI SQL with proprietary extensions

SQL-like query language

Read-only SQL queries via the MongoDB Atlas SQL Interface

mit proprietären Erweiterungen

nein

APIs und andere Zugriffskonzepte

ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

GraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)

Unterstützte Programmiersprachen

.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Actionscript

inoffizielle Driver
C
C#
C++
Clojure

inoffizielle Driver
ColdFusion

inoffizielle Driver
D

inoffizielle Driver
Dart

inoffizielle Driver
Delphi

inoffizielle Driver
Erlang
Go
Groovy

inoffizielle Driver
Haskell
Java
JavaScript
Kotlin
Lisp

inoffizielle Driver
Lua

inoffizielle Driver
MatLab

inoffizielle Driver
Perl
PHP
PowerShell

inoffizielle Driver
Prolog

inoffizielle Driver
Python
R

inoffizielle Driver
Ruby
Rust
Scala
Smalltalk

inoffizielle Driver
Swift

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala

Server-seitige Scripts

Stored Procedures

.Net, JavaScript, C/C++

user defined functions

JavaScript

PL/SQL

auch Java stored procedures möglich

nein

Triggers

nein

in MongoDB Atlas only

nein

Partitionierungsmechanismen

Methoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knoten

File partitioning, horizontal partitioning, sharding

Customizable business rules for table partitioning

Sharding

Aufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.

Sharding

Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.

Sharding, horizontal partitioning

Sharding

by using Cassandra

Replikationsmechanismen

Methoden zum redundanten Speichern von Daten auf mehreren Knoten

yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).

Synchronous replication based on Galera library

Multi-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation

Multi-Source Replikation
Source-Replica Replikation

Multi-Source Replikation

by using Cassandra

MapReduce

Bietet ein API für Map/Reduce Operationen

nein

kann in PL/SQL realisiert werden

by using Apache Kafka and Apache Zookeeper

Konsistenzkonzept

Methoden zur Sicherstellung der Konsistenz in einem verteilten System

Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction

Eventual Consistency

can be individually decided for each read operation
Immediate Consistency

default behaviour

Immediate Consistency

Fremdschlüssel

referenzielle Integrität

nein

Normalerweise nicht gebraucht, abgeschwächte Variante mit DBRef

nein

substituted by the relationship feature

Transaktionskonzept

Unterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationen

tunable from ACID to Eventually Consistent

isolated transactions for atomic changes and binary logging for safe writes

Multi-document ACID Transactions with snapshot isolation

ACID

mit parameterisierbarem isolation level

ACID

Concurrency

Unterstützung von gleichzeitig ausgeführten Datenmanipulationen

Durability

Dauerhafte Speicherung der Daten

Yes, tunable from durable to delayed durability to in-memory

Der Originalinhalt von Feldern wird nicht im Manticore-Index gespeichert.

optional, enabled by default

In-Memory Unterstützung

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

In-memory storage engine introduced with MongoDB version 3.2

Version 12c introduced the new option 'Oracle Database In-Memory'

nein

Berechtigungskonzept

Zugriffskontrolle

Fine grained access rights according to SQL-standard with additional protections for files

nein

Zugriffsrechte für Benutzer und Rollen

Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard

yes

at REST API level; other APIs in progress

Weitere Informationen bereitgestellt vom Systemhersteller

Specific characteristics

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Competitive advantages

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Market metrics

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Licensing and pricing models

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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

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