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DBMS > AlaSQL vs. Apache IoTDB vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. OpenSearch

Vergleich der Systemeigenschaften AlaSQL vs. Apache IoTDB vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. OpenSearch

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlaSQL  Xaus Vergleich ausschliessenApache IoTDB  Xaus Vergleich ausschliessenFirebase Realtime Database  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOpenSearch  Xaus Vergleich ausschliessen
KurzbeschreibungJavaScript DBMS libraryAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCloud-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 distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primäres DatenbankmodellDocument Store
Relational DBMS
Time Series DBMSDocument StoreRelational DBMS infocolumn orientedSuchmaschine
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
Vektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,42
Rang#264  Overall
#42  Document Stores
#122  Relational DBMS
Punkte1,31
Rang#159  Overall
#14  Time Series DBMS
Punkte13,60
Rang#39  Overall
#6  Document Stores
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte16,31
Rang#36  Overall
#4  Suchmaschinen
Websitealasql.orgiotdb.apache.orgfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorergithub.com/­opensearch-project
opensearch.org
Technische Dokumentationgithub.com/­AlaSQL/­alasqliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-exploreropensearch.org/­docs/­latest
EntwicklerAndrey Gershun & Mathias R. WulffApache Software FoundationGoogle infoacquired by Google 2014MicrosoftAmazon Web Services
Erscheinungsjahr20142018201220192021
Aktuelle Version1.1.0, April 2023cloud service with continuous releases2.5.0, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0kommerziellkommerziellOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
ImplementierungsspracheJavaScriptJavaJava
Server Betriebssystemeserver-less, requires a JavaScript environment (browser, Node.js)Alle Betriebssysteme mit einer Java VM (>=1.8)gehostetgehostetAlle Betriebssysteme mit einer Java VM
DatenschemaschemafreijaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei infoFlexible Typdefinitionen, die - sobald definiert - persistent bleiben.
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjajaja 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, XSLTneinneinneinja
Sekundärindizesneinjajaall fields are automatically indexedja infoAlle Suchfelder werden automatisch indiziert
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languageneinKusto Query Language (KQL), SQL subsetSQL-like query language
APIs und andere ZugriffskonzepteJavaScript APIJDBC
Native API
Android
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenJavaScriptC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-seitige Scripts infoStored Proceduresneinjalimited functionality with using 'rules'Yes, possible languages: KQL, Python, Rja
TriggersjajaCallbacks are triggered when data changesja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoMittels Verwendung des 'Percolation' features
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinIntegration with Hadoop and SparkneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Eventual Consistency infoSynchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, all
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenja infoonly for local storage and DOM-storageneinjaneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenja infoby using IndexedDB, SQL.JS or proprietary FileStoragejajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajanein
Berechtigungskonzept infoZugriffskontrolleneinjayes, based on authentication and database rulesAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
AlaSQLApache IoTDBFirebase Realtime DatabaseMicrosoft Azure Data ExplorerOpenSearch
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» mehr
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» mehr
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» mehr
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» mehr

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Weitere Ressourcen
AlaSQLApache IoTDBFirebase Realtime DatabaseMicrosoft Azure Data ExplorerOpenSearch
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