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DBMS > Couchbase vs. Google Cloud Firestore vs. LMDB vs. Microsoft Azure Data Explorer vs. RDFox

Vergleich der Systemeigenschaften Couchbase vs. Google Cloud Firestore vs. LMDB vs. Microsoft Azure Data Explorer vs. RDFox

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCouchbase infoUrsprünglich Membase genannt  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenLMDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRDFox  Xaus Vergleich ausschliessen
KurzbeschreibungA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A high performant, light-weight, embedded key-value database libraryFully managed big data interactive analytics platformHigh performance knowledge graph and semantic reasoning engine
Primäres DatenbankmodellDocument StoreDocument StoreKey-Value StoreRelational DBMS infocolumn orientedGraph DBMS
RDF Store
Sekundäre DatenbankmodelleKey-Value Store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Suchmaschine
Time Series DBMS
Vektor DBMS
Document Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte17,30
Rang#36  Overall
#5  Document Stores
Punkte7,85
Rang#51  Overall
#8  Document Stores
Punkte1,99
Rang#125  Overall
#21  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,23
Rang#308  Overall
#25  Graph DBMS
#14  RDF Stores
Websitewww.couchbase.comfirebase.google.com/­products/­firestorewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­data-explorerwww.oxfordsemantic.tech
Technische Dokumentationdocs.couchbase.comfirebase.google.com/­docs/­firestorewww.lmdb.tech/­docdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oxfordsemantic.tech
EntwicklerCouchbase, Inc.GoogleSymasMicrosoftOxford Semantic Technologies
Erscheinungsjahr20112017201120192017
Aktuelle VersionServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20230.9.32, Jaenner 2024cloud service with continuous releases6.0, Septermber 2022
Lizenz infoCommercial or Open SourceOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablekommerziellOpen Sourcekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC, C++, Go and ErlangCC++
Server BetriebssystemeLinux
OS X
Windows
gehostetLinux
Unix
Windows
gehostetLinux
macOS
Windows
DatenschemaschemafreischemafreischemafreiFixed schema with schema-less datatypes (dynamic)ja infoRDF schemas
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinja
Sekundärindizesjajaneinall fields are automatically indexed
SQL infoSupport of SQLSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesneinneinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteCLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Unterstützte Programmiersprachen.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
Java
Server-seitige Scripts infoStored ProceduresFunctions and timers in JavaScript and UDFs in Java, Python, SQL++yes, Firebase Rules & Cloud FunctionsneinYes, possible languages: KQL, Python, R
Triggersja infoüber das TAP Protokollyes, with Cloud Functionsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic ShardingShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation infoinklusive cross data center replication
Source-Replica Replikation
Multi-Source Replikationkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.replication via a shared file system
MapReduce infoBietet ein API für Map/Reduce OperationenjaUsing Cloud DataflowneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency infopro Operation auswählbar
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDjaACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoEphemeral bucketsjaneinja
Berechtigungskonzept infoZugriffskontrolleUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.neinAzure Active Directory AuthenticationRoles, resources, and access types

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Weitere Ressourcen
Couchbase infoUrsprünglich Membase genanntGoogle Cloud FirestoreLMDBMicrosoft Azure Data ExplorerRDFox
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