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DBMS > GigaSpaces vs. Graph Engine vs. Microsoft Azure Cosmos DB vs. Milvus vs. MongoDB

Vergleich der Systemeigenschaften GigaSpaces vs. Graph Engine vs. Microsoft Azure Cosmos DB vs. Milvus vs. MongoDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGigaSpaces  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessen
KurzbeschreibungHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGlobally distributed, horizontally scalable, multi-model database serviceA DBMS designed for efficient storage of vector data and vector similarity searchesEiner der meistverwendeten Document Stores
Primäres DatenbankmodellDocument Store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-Value Store
Document Store
Graph DBMS
Key-Value Store
Wide Column Store
Vektor DBMSDocument Store
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Spatial DBMSSpatial DBMS
Suchmaschine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vektor DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte0,61
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
Punkte29,04
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte2,31
Rang#113  Overall
#3  Vektor DBMS
Punkte421,65
Rang#5  Overall
#1  Document Stores
Websitewww.gigaspaces.comwww.graphengine.ioazure.microsoft.com/­services/­cosmos-dbmilvus.iowww.mongodb.com
Technische Dokumentationdocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manuallearn.microsoft.com/­azure/­cosmos-dbmilvus.io/­docs/­overview.mdwww.mongodb.com/­docs/­manual
EntwicklerGigaspaces TechnologiesMicrosoftMicrosoftMongoDB, Inc
Erscheinungsjahr20002010201420192009
Aktuelle Version15.5, September 20202.3.4, Jänner 20246.0.7, Juni 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicensekommerziellOpen Source infoApache Version 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for MilvusMongoDB 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.
ImplementierungsspracheJava, C++, .Net.NET and CC++, GoC++
Server BetriebssystemeLinux
macOS
Solaris
Windows
.NETgehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Solaris
Windows
Datenschemaschemafreijaschemafreischemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Struktur
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infoJSON typesVector, Numeric and Stringja infostring, integer, double, decimal, boolean, date, object_id, geospatial
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein infoXML can be used for describing objects metadataneinnein
Sekundärindizesjaja infoAll properties auto-indexed by defaultneinja
SQL infoSupport of SQLSQL-99 for query and DML statementsneinSQL-like query languageneinRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs und andere ZugriffskonzepteGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIGraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON
Unterstützte Programmiersprachen.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Go
Java
JavaScript (Node.js)
Python
Actionscript infoinoffizielle Driver
C
C#
C++
Clojure infoinoffizielle Driver
ColdFusion infoinoffizielle Driver
D infoinoffizielle Driver
Dart infoinoffizielle Driver
Delphi infoinoffizielle Driver
Erlang
Go
Groovy infoinoffizielle Driver
Haskell
Java
JavaScript
Kotlin
Lisp infoinoffizielle Driver
Lua infoinoffizielle Driver
MatLab infoinoffizielle Driver
Perl
PHP
PowerShell infoinoffizielle Driver
Prolog infoinoffizielle Driver
Python
R infoinoffizielle Driver
Ruby
Rust
Scala
Smalltalk infoinoffizielle Driver
Swift
Server-seitige Scripts infoStored ProceduresjajaJavaScriptneinJavaScript
TriggersjaneinJavaScriptneinja infoin MongoDB Atlas only
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardinghorizontale PartitionierungSharding infoImplizit im Cloud ServiceShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
ja infoImplizit im Cloud ServiceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenja infoMap-Reduce pattern can be built with XAP task executorswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*neinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRef
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinMulti-item ACID transactions with snapshot isolation within a partitionneinMulti-document ACID Transactions with snapshot isolation
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejajaja infooptional, enabled by default
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajaja infoIn-memory storage engine introduced with MongoDB version 3.2
Berechtigungskonzept infoZugriffskontrolleRole-based access controlZugriffsrechte bis auf item level einstellbarRole based access control and fine grained access rightsZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
GigaSpacesGraph Engine infoformer name: TrinityMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvusMongoDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» mehr
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» mehr
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
Built around the flexible document data model and unified API, MongoDB is a developer...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
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Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» mehr
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» mehr

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Weitere Ressourcen
GigaSpacesGraph Engine infoformer name: TrinityMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMilvusMongoDB
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