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DBMS > AlaSQL vs. Firebase Realtime Database vs. MarkLogic vs. Microsoft Azure Data Explorer vs. Vertica

Vergleich der Systemeigenschaften AlaSQL vs. Firebase Realtime Database vs. MarkLogic vs. Microsoft Azure Data Explorer vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlaSQL  Xaus Vergleich ausschliessenFirebase Realtime Database  Xaus Vergleich ausschliessenMarkLogic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  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.Operational and transactional Enterprise NoSQL databaseFully managed big data interactive analytics platformCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellDocument Store
Relational DBMS
Document StoreDocument Store
Native XML DBMS
RDF Store infoab Version 7
Suchmaschine
Relational DBMS infocolumn orientedRelational DBMS infoColumn oriented
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
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,51
Rang#256  Overall
#40  Document Stores
#118  Relational DBMS
Punkte13,64
Rang#39  Overall
#6  Document Stores
Punkte5,18
Rang#63  Overall
#11  Document Stores
#1  Native XML DBMS
#1  RDF Stores
#7  Suchmaschinen
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websitealasql.orgfirebase.google.com/­products/­realtime-databasewww.progress.com/­marklogicazure.microsoft.com/­services/­data-explorerwww.vertica.com
Technische Dokumentationgithub.com/­AlaSQL/­alasqlfirebase.google.com/­docs/­databasewww.progress.com/­marklogic/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorervertica.com/­documentation
EntwicklerAndrey Gershun & Mathias R. WulffGoogle infoacquired by Google 2014MarkLogic Corp.MicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20142012200120192005
Aktuelle Version11.0, December 2022cloud service with continuous releases12.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoMIT-Licensekommerziellkommerziell infoeingeschränkte kostenlose Version verfügbarkommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaScriptC++C++
Server Betriebssystemeserver-less, requires a JavaScript environment (browser, Node.js)gehostetLinux
OS X
Windows
gehostetLinux
Datenschemaschemafreischemafreischemafrei infoSchema kann erzwungen werdenFixed schema with schema-less datatypes (dynamic)Yes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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-typesyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjajanein
Sekundärindizesneinjajaall fields are automatically indexedNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.neinja infoSQL92Kusto Query Language (KQL), SQL subsetFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJavaScript APIAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenJavaScriptJava
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinlimited functionality with using 'rules'ja infovia XQuery or JavaScriptYes, possible languages: KQL, Python, Ryes, PostgreSQL PL/pgSQL, with minor differences
TriggersjaCallbacks are triggered when data changesjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeinejaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinja infoÃœber Hadoop Connector, HDFS Direct Access und in-database MapReduce JobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenja infoonly for local storage and DOM-storagejaACID infocan act as a resource manager in an XA/JTA transactionneinACID
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 haltenjayes, with Range Indexesneinnein
Berechtigungskonzept infoZugriffskontrolleneinyes, based on authentication and database rulesRollen-basierte Zugriffskontrolle auf Dokumenten- und SubdokumentenebeneAzure Active Directory Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
AlaSQLFirebase Realtime DatabaseMarkLogicMicrosoft Azure Data ExplorerVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
AlaSQLFirebase Realtime DatabaseMarkLogicMicrosoft Azure Data ExplorerVertica infoOpenText™ Vertica™
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