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DBMS > Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. Tarantool vs. Yanza

Vergleich der Systemeigenschaften Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. Tarantool vs. Yanza

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFirebase Realtime Database  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Table Storage  Xaus Vergleich ausschliessenTarantool  Xaus Vergleich ausschliessenYanza  Xaus Vergleich ausschliessen
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Fully managed big data interactive analytics platformA Wide Column Store for rapid development using massive semi-structured datasetsIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsTime Series DBMS for IoT Applications
Primäres DatenbankmodellDocument StoreRelational DBMS infocolumn orientedWide Column StoreDocument Store
Key-Value Store
Relational DBMS
Time Series DBMS
Sekundäre DatenbankmodelleDocument 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
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte13,64
Rang#39  Overall
#6  Document Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte4,04
Rang#77  Overall
#6  Wide Column Stores
Punkte1,67
Rang#143  Overall
#25  Document Stores
#25  Key-Value Stores
#65  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­services/­storage/­tableswww.tarantool.ioyanza.com
Technische Dokumentationfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-explorerwww.tarantool.io/­en/­doc
EntwicklerGoogle infoacquired by Google 2014MicrosoftMicrosoftVKYanza
Erscheinungsjahr20122019201220082015
Aktuelle Versioncloud service with continuous releases2.10.0, Mai 2022
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisekommerziell infofree version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajajaneinnein infobut mainly used as a service provided by Yanza
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++
Server BetriebssystemegehostetgehostetgehostetBSD
Linux
macOS
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafreiFlexible data schema: relational definition for tables with ability to store json-like documents in columnsschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjastring, double, decimal, uuid, integer, blob, boolean, datetimenein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein
Sekundärindizesjaall fields are automatically indexedneinjanein
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetneinFull-featured ANSI SQL supportnein
APIs und andere ZugriffskonzepteAndroid
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIOpen binary protocolHTTP API
Unterstützte ProgrammiersprachenJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
jede Sprache, die HTTP-Aufrufe erlaubt
Server-seitige Scripts infoStored Procedureslimited functionality with using 'rules'Yes, possible languages: KQL, Python, RneinLua, C and SQL stored proceduresnein
TriggersCallbacks are triggered when data changesja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinjaja infoTimer and event based
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.keine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Asynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
keine
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Immediate ConsistencyCasual 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
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinyesnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenjaneinoptimistic LockingACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajayes, write ahead loggingja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinyes, full featured in-memory storage engine with persistence
Berechtigungskonzept infoZugriffskontrolleyes, based on authentication and database rulesAzure Active Directory AuthenticationAccess rights based on private key authentication or shared access signaturesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
nein

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Weitere Ressourcen
Firebase Realtime DatabaseMicrosoft Azure Data ExplorerMicrosoft Azure Table StorageTarantoolYanza
DB-Engines Blog Posts

Cloud-based DBMS's popularity grows at high rates
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Data processing speed and reliability: in-memory synchronous replication
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