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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 Elasticsearch, Microsoft Azure Cosmos DB und InfluxDB.

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
Punkte7,54
Rang#58  Overall
#34  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.

Licensing and pricing models

An Azure Data Explorer cluster is a pair of engine and data management clusters which uses several Azure resources such as Azure Linux VM’s and Storage. The applicable VMs, Azure Storage, Azure Networking and Azure Load balancer costs are billed directly to the customer subscription.

Azure Data Explorer clusters are billed on a per minute basis. Azure Data Explorer charges you for each VM in the cluster as well as Azure Data Explorer markup for some components of a cluster. Azure Data Explorer markup is proportional to the number of the VM vCores running in the engine cluster.

More information on the pricing: https://azure.microsoft.com/en-us/pricing/details/data-explorer/

Start for free

The Start-for-free cluster allows anyone with a Microsoft account or an Azure Active Directory user identity to create a free Azure Data Explorer cluster without needing an Azure subscription or a credit card.

It's a frictionless way to create a free cluster that can be used for any purpose. It's the ideal solution for anyone who wants to get started quickly with Azure Data Explorer and experience the incredible engine performance and enjoy the productive Kusto Query Language.

The cluster's trial period is for a year and may automatically be extended. The cluster is provided as-is and is not subject to the Azure Data Explorer service level agreement. At any time, you can upgrade the cluster to a full Azure Data Explorer cluster.

Start your journey by creating your own free cluster and reviewing the Microsoft Software License Terms.

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Weitere Ressourcen
Microsoft Azure Data Explorer
Erwähnungen in aktuellen Nachrichten

Uptake Fusion to Support Microsoft Azure Data Explorer
1. März 2022, PR Newswire

Full-Stack Observability with Grafana and Azure Monitor
10. Mai 2022, InfoQ.com

Google attacks Microsoft in the Field of Data Analytics and IoT
15. Mai 2022, Medium

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

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

bereitgestellt von Google News

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