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DBMS > Elasticsearch vs. Graph Engine vs. Microsoft Azure Cosmos DB vs. MongoDB vs. Tarantool

Vergleich der Systemeigenschaften Elasticsearch vs. Graph Engine vs. Microsoft Azure Cosmos DB vs. MongoDB vs. Tarantool

Redaktionelle Informationen bereitgestellt von DB-Engines
NameElasticsearch  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessen
KurzbeschreibungEine moderne Such- und Analyseplattform basierend auf Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA 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 serviceEiner der meistverwendeten Document StoresIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primäres DatenbankmodellSuchmaschineGraph DBMS
Key-Value Store
Document Store
Graph DBMS
Key-Value Store
Wide Column Store
Document StoreDocument Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Vektor DBMS
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
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte135,35
Rang#7  Overall
#1  Suchmaschinen
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
Punkte421,65
Rang#5  Overall
#1  Document Stores
Punkte1,72
Rang#144  Overall
#25  Document Stores
#25  Key-Value Stores
#66  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.graphengine.ioazure.microsoft.com/­services/­cosmos-dbwww.mongodb.comwww.tarantool.io
Technische Dokumentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manuallearn.microsoft.com/­azure/­cosmos-dbwww.mongodb.com/­docs/­manualwww.tarantool.io/­en/­doc
EntwicklerElasticMicrosoftMicrosoftMongoDB, IncVK
Erscheinungsjahr20102010201420092008
Aktuelle Version8.6, January 20236.0.7, Juni 20232.10.0, Mai 2022
Lizenz infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoMIT LicensekommerziellOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein infoMongoDB available as DBaaS (MongoDB Atlas)nein
DBaaS Angebote (gesponserte Links) infoDatabase 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.
ImplementierungsspracheJava.NET and CC++C und C++
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM.NETgehostetLinux
OS X
Solaris
Windows
BSD
Linux
macOS
Datenschemaschemafrei infoFlexible Typdefinitionen, die - sobald definiert - persistent bleiben.jaschemafreischemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe StrukturFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infoJSON typesja infostring, integer, double, decimal, boolean, date, object_id, geospatialstring, double, decimal, uuid, integer, blob, boolean, datetime
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinnein
Sekundärindizesja infoAlle Suchfelder werden automatisch indiziertja infoAll properties auto-indexed by defaultjaja
SQL infoSupport of SQLSQL-like query languageneinSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL InterfaceFull-featured ANSI SQL support
APIs und andere ZugriffskonzepteJava API
RESTful HTTP/JSON API
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL
HTTP REST
Prisma
Proprietäres Protokoll basierend auf JSON
Open binary protocol
Unterstützte Programmiersprachen.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
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
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-seitige Scripts infoStored ProceduresjajaJavaScriptJavaScriptLua, C and SQL stored procedures
Triggersja infoMittels Verwendung des 'Percolation' featuresneinJavaScriptja infoin MongoDB Atlas onlyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardinghorizontale PartitionierungSharding infoImplizit im Cloud ServiceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplizit im Cloud ServiceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoBietet ein API für Map/Reduce OperationenES-Hadoop Connectorwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*ja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoSynchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, allBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRefyes
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolationACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
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 storagejaja infooptional, enabled by defaultyes, write ahead logging
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenMemcached and Redis integrationjaja infoIn-memory storage engine introduced with MongoDB version 3.2yes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte bis auf item level einstellbarZugriffsrechte für Benutzer und RollenAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Weitere Informationen bereitgestellt vom Systemhersteller
ElasticsearchGraph Engine infoformer name: TrinityMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBTarantool
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» mehr
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» mehr
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» mehr
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» mehr
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» mehr
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» mehr

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Weitere Ressourcen
ElasticsearchGraph Engine infoformer name: TrinityMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDBTarantool
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