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DBMS > AnzoGraph DB vs. ArangoDB vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Raima Database Manager

Vergleich der Systemeigenschaften AnzoGraph DB vs. ArangoDB vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Raima Database Manager

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAnzoGraph DB  Xaus Vergleich ausschliessenArangoDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessen
KurzbeschreibungScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDBMS with a small footprint, either embedded into an application or used as a database server
Primäres DatenbankmodellGraph DBMS
RDF Store
Document Store
Graph DBMS
Key-Value Store
Suchmaschine
Graph DBMS
Key-Value Store
Relational DBMSRelational DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,22
Rang#302  Overall
#24  Graph DBMS
#13  RDF Stores
Punkte3,30
Rang#82  Overall
#14  Document Stores
#5  Graph DBMS
#10  Key-Value Stores
#10  Suchmaschinen
Punkte0,56
Rang#241  Overall
#21  Graph DBMS
#34  Key-Value Stores
Punkte18,98
Rang#31  Overall
#19  Relational DBMS
Punkte0,40
Rang#268  Overall
#125  Relational DBMS
#21  Time Series DBMS
Websitecambridgesemantics.com/­anzographarangodb.comwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticsraima.com
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.arangodb.comwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdocs.raima.com
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
EntwicklerCambridge SemanticsArangoDB Inc.MicrosoftMicrosoftRaima Inc.
Erscheinungsjahr20182012201020161984
Aktuelle Version2.3, Jänner 20213.11.5, November 202315, Juni 2021
Lizenz infoCommercial or Open Sourcekommerziell infofree trial version availableOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoMIT Licensekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
ImplementierungsspracheC++.NET and CC++C
Server BetriebssystemeLinuxLinux
OS X
Windows
.NETgehostetAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
DatenschemaSchema-free and OWL/RDFS-schema supportschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntjajaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, double, boolean, list, hashjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein infoExporting/Importing of XML structures possible
Sekundärindizesneinjajaja
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.neinneinjaja
APIs und andere ZugriffskonzepteApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
RESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Unterstützte ProgrammiersprachenC++
Java
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
F#
Visual Basic
C#
Java
PHP
.Net
C
C++
Objective-C
PL/SQL
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenJavaScriptjaTransact SQLja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersneinneinneinneinja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic shardingSharding infoAb Version 2.0horizontale PartitionierungSharding, horizontal partitioninghorizontale Partitionierung
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation in MPP-ClusterSource-replica replication with configurable replication factorjaSource-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenKerberos/HDFS data loadingnein infoMöglich über stored procedures in JavaScriptneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency in MPP-ClusterEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätnein infonot needed in graphsja inforelationships in graphsneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesjajanein
Weitere Informationen bereitgestellt vom Systemhersteller
AnzoGraph DBArangoDBGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRaima Database Manager infoformerly named db_Vista
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» mehr
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» mehr
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» mehr
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» mehr
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» mehr
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
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Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» mehr
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» mehr
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
Over 30 000 applications developers worldwide have field-tested RDM products More...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» mehr
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» mehr
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Weitere Ressourcen
AnzoGraph DBArangoDBGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRaima Database Manager infoformerly named db_Vista
DB-Engines Blog Posts

The Weight of Relational Databases: Time for Multi-Model?
29. August 2017, Luca Olivari (guest author)

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