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DBMS > Microsoft Azure Data Explorer

Microsoft Azure Data Explorer Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit Microsoft Azure Data Explorer zu vergleichen.

Unsere Besucher vergleichen Microsoft Azure Data Explorer oft mit Amazon Redshift, Elasticsearch und Microsoft Azure Synapse Analytics.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer
KurzbeschreibungFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational 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)
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,36
Rang#78  Overall
#43  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerMicrosoft
Erscheinungsjahr2019
Aktuelle Versioncloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server Betriebssystemegehostet
DatenschemaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja
Sekundärindizesall fields are automatically indexed
SQL infoSupport of SQLKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, R
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltennein
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Microsoft Azure Data Explorer
Specific characteristics

Azure Data Explorer is a fast and highly scalable data exploration service for log and telemetry data. It helps you handle the many data streams emitted by modern software, so you can collect, store, and analyze data. Azure Data Explorer is ideal for analyzing large volumes of diverse data from any data source, such as websites, applications, IoT devices, and more. This data is used for diagnostics, monitoring, reporting, machine learning, and additional analytics capabilities. Azure Data Explorer makes it simple to ingest this data and enables you to perform complex ad hoc queries on the data in seconds.

Competitive advantages
  • Kusto Query Language (innovative query language, optimized for high performance data analytics)
  • Optimized for streaming data
  • Time-series analysis
  • Inbuilt anomaly detection, forecasting, geospatial and machine learning capabilities
  • Fully managed data service
  • Distributed and resilient
  • Strong focus on enterprise readines
Typical application scenarios

IoT applications

IoT devices generate billions of sensor readings. Normalizing and aggregating data typically requires multiple technologies, which slows analysis, complicates maintenance, and leads to reliability issues. Azure Data Explorer facilitates remote monitoring of manufacturing equipment, vehicles, and systems that continuously cycle through operations. Derive insights from large volumes of telemetry to ensure high performance and optimize machine quality. Use the data for notifications and to feed analysis tools to diagnose and treat problems.

Big data logging

Publishers, ad networks, gaming sites, and other web-based businesses rely on large volumes of log data to spot trends, patterns, or anomalies in near-real time. With data exploration, discover insights that help you gain new customers, increase user engagement, and monetize traffic. Use this instant analysis of billions of lines of log data to generate personalized recommendations to visitors, predict which results and content suggestions they’re most likely to click on, and learn which content will lead to new subscriptions and purchases.

SaaS applications

Organizations are rapidly adopting software as a service (SaaS) applications for business transformation. Embed Azure Data Explorer in SaaS applications to ingest and analyze petabytes of data in real time. Developers are using this data to monitor service and improve application performance, while business users are discovering user trends, creating personalized experiences, and developing new revenue streams.

Key customers

Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd

Market metrics

Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights, and Windows Defender Advanced Threat Protection and many more. It's running on hundreds of thousands of Azure cores.

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Weitere Ressourcen
Microsoft Azure Data Explorer
Erwähnungen in aktuellen Nachrichten

Azure Data Explorer gets new engine, numerous enhancements and Synapse integration
14. Oktober 2020, ZDNet

AMD EPYC Processors Power Microsoft Azure Data Explorer, Offers Users 30 Percent Better Performance
15. Oktober 2020, HPCwire

Get Started with Accessing Azure Data Explorer using Apache Spark for Azure Synapse Analytics - Microsoft
8. April 2021, Channel 9

AMD releases Azure Data Explorer PaaS solution
19. Oktober 2020, IT Brief Australia

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29. Januar 2019, ZDNet

bereitgestellt von Google News

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