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DBMS > AlaSQL vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. SingleStore vs. Trino

Vergleich der Systemeigenschaften AlaSQL vs. Firebase Realtime Database vs. Microsoft Azure Data Explorer vs. SingleStore vs. Trino

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlaSQL  Xaus Vergleich ausschliessenFirebase Realtime Database  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSingleStore infoformer name was MemSQL  Xaus Vergleich ausschliessenTrino  Xaus Vergleich ausschliessen
KurzbeschreibungJavaScript DBMS libraryCloud-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 platformMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primäres DatenbankmodellDocument Store
Relational DBMS
Document StoreRelational DBMS infocolumn orientedRelational DBMSRelational 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
Document Store
Spatial DBMS
Time Series DBMS
Vektor DBMS
Document Store
Key-Value Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,42
Rang#264  Overall
#42  Document Stores
#122  Relational DBMS
Punkte13,60
Rang#39  Overall
#6  Document Stores
Punkte3,28
Rang#83  Overall
#45  Relational DBMS
Punkte4,02
Rang#74  Overall
#39  Relational DBMS
Punkte5,28
Rang#61  Overall
#35  Relational DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­services/­data-explorerwww.singlestore.comtrino.io
Technische Dokumentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasedocs.microsoft.com/­en-us/­azure/­data-explorerdocs.singlestore.comtrino.io/­broadcast
trino.io/­docs/­current
EntwicklerAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014MicrosoftSingleStore Inc.Trino Software Foundation
Erscheinungsjahr20142012201920132012 info2020 rebranded from PrestoSQL
Aktuelle Versioncloud service with continuous releases8.5, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoMIT-Licensekommerziellkommerziellkommerziell infofree developer edition availableOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaScriptC++, GoJava
Server Betriebssystemeserver-less, requires a JavaScript environment (browser, Node.js)gehostetgehostetLinux info64 bit version requiredLinux
macOS infofor devlopment
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesneinjaall fields are automatically indexedjadepending on connected data-source
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.neinKusto Query Language (KQL), SQL subsetyes infobut no triggers and foreign keysja
APIs und andere ZugriffskonzepteJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
RESTful HTTP API
Trino CLI
Unterstützte ProgrammiersprachenJavaScriptJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Bash
C
C#
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-seitige Scripts infoStored Proceduresneinlimited functionality with using 'rules'Yes, possible languages: KQL, Python, Rjayes, depending on connected data-source
TriggersjaCallbacks are triggered when data changesja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineSharding infoImplicit feature of the cloud serviceSharding infohash partitioningdepending on connected data-source
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation infostores two copies of each physical data partition on two separate nodesdepending on connected data-source
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infocan define user-defined aggregate functions for map-reduce-style calculationsnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Immediate Consistency
Immediate Consistencydepending on connected data-source
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenja infoonly for local storage and DOM-storagejaneinACIDdepending on connected data-source
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenja infoby using IndexedDB, SQL.JS or proprietary FileStoragejajaja infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.depending on connected data-source
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja
Berechtigungskonzept infoZugriffskontrolleneinyes, based on authentication and database rulesAzure Active Directory AuthenticationFine grained access control via users, groups and rolesSQL standard access control
Weitere Informationen bereitgestellt vom Systemhersteller
AlaSQLFirebase Realtime DatabaseMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQLTrino
Neuigkeiten

23 is a go, keeping pace with Java
17. September 2024

65: Performance boosts
12. September 2024

64: Control with Open Policy Agent OPA
22. August 2024

63: Querying with JS
1. August 2024

62: A lakehouse that simply works at Prezi
11. Juli 2024

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Weitere Ressourcen
AlaSQLFirebase Realtime DatabaseMicrosoft Azure Data ExplorerSingleStore infoformer name was MemSQLTrino
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