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DBMS > eXtremeDB vs. GBase vs. Hazelcast vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften eXtremeDB vs. GBase vs. Hazelcast vs. Microsoft Azure Data Explorer

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameeXtremeDB  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungNatively in-memory DBMS with options for persistency, high-availability and clusteringAn analytical database for business intelligence with large customers in China.A widely adopted in-memory data gridFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Relational DBMSKey-Value StoreRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument Store infoJSON support with IMDG 3.12Document 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
Punkte0,41
Rang#231  Overall
#110  Relational DBMS
#13  Time Series DBMS
Punkte0,89
Rang#171  Overall
#82  Relational DBMS
Punkte8,45
Rang#48  Overall
#6  Key-Value Stores
Punkte3,58
Rang#84  Overall
#42  Relational DBMS
Websitewww.mcobject.com/­extremedbfamilywww.gbase8a.comhazelcast.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationwww.mcobject.com/­docs/­eXtremeDB.htmhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerMcObjectHazelcastMicrosoft
Erscheinungsjahr200120082019
Aktuelle Version8.1, November 2019GBase 8a4.0, Februar 2020cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
eXtremeDB on AWS: High performance DBMS for HPC and Capital Market computing
ImplementierungsspracheC und C++Java
Server BetriebssystemeAIX
HP-UX
Linux
macOS
Solaris
Windows
Alle Betriebssysteme mit einer Java VMgehostet
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja 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, XSLTnein infosupport of XML interfaces availableja infothe object must implement a serialization strategyja
Sekundärindizesjajaall fields are automatically indexed
SQL infoSupport of SQLja infowith the option: eXtremeSQLSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere Zugriffskonzepte.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresjaja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, R
Triggersja infoby defining eventsja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung / shardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenActive Replication Fabric™ for IoT
Master-Master Replikation infoby means of eXtremeDB Cluster option
Master-Slave Replikation infoby means of eXtremeDB High Availability option
ja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDone or two-phase-commit; repeatable reads; read commitednein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejaja
Durability infoDauerhafte Speicherung der Datenjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajanein
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
eXtremeDBGBaseHazelcastMicrosoft Azure Data Explorer
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» mehr
Hazelcast is an in-memory computing platform that runs applications with extremely...
» mehr
Azure Data Explorer is a fast and highly scalable data exploration service for log...
» mehr
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» mehr
Hazelcast has an optimized, multi-threaded architecture that enables the highest...
» mehr
Kusto Query Language (innovative query language, optimized for high performance data...
» mehr
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» mehr
Hazelcast powers many types of large-scale, data processing applications. A sample...
» mehr
IoT applications IoT devices generate billions of sensor readings. Normalizing and...
» mehr
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» mehr
Hazelcast customers include 50 of the world’s largest financial services companies,...
» mehr
Microsoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» mehr
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» mehr
Azure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» mehr
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» mehr
Hazelcast provides both open source and commercial software. The open source offering...
» mehr

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Weitere Ressourcen
eXtremeDBGBaseHazelcastMicrosoft Azure Data Explorer
Erwähnungen in aktuellen Nachrichten

eXtremeDB 8.1 adds features for easier, more sophisticated database management
19. November 2019, GlobeNewswire

McObject's eXtremeDB for HPC is now available on AWS
15. Oktober 2019, GlobeNewswire

Distributed Database Systems' Relevance to the Internet of Things
5. Dezember 2019, Embedded Computing Design

Unique Active Replication Fabric feature announced by McObject for its eXtremeDB IoT SDK bundle
13. Mai 2019, GlobeNewswire

Trade Surveillance Market: Global Industry Scope, Business Strategies, Drivers, Restraint, Opportunities, Challenges, Competitive Analysis, Trend and Forecasts 2026 | Data Bridge Market Research
25. November 2019, PRNewswire

bereitgestellt von Google News

Global In-Memory Data Grid Market 2020 Top Key Players | Oracle, IBM, Hazelcast, Scale Out Software, Tibco Software
2. Juli 2020, Bandera County Courier

In-Memory Data Grid Market 2020 Business Scenario – Scale Out Software, IBM, Hitachi, Gigaspaces, Oracle, Pivotal, Gridgain Systems, Hazelcast
3. Juli 2020, 3rd Watch News

Hazelcast raises $50 million to deliver speedy in-memory compute services
12. Februar 2020, VentureBeat

Latest News 2020: In-Memory Data Grid Market by Coronavirus-COVID19 Impact Analysis With Top Manufacturers Analysis | Top Players: Oracle, IBM, Hazelcast, Scale Out Software, Tibco Software, etc. | InForGrowth
16. Juni 2020, Jewish Life News

Hazelcast Simplifies High-Performance Stream Processing for Edge Computing Environments
13. Mai 2020, PRNewswire

bereitgestellt von Google News

Azure Updates: Covid-19; Teams; SAP; VMs; IoT Hub
23. Juni 2020, MSDynamicsWorld.com

IS Engineering Lead
22. Juni 2020, OilVoice

Zoomd Takes Another Step Towards Becoming an Industry Leader After Adopting Microsoft's Azure Data Explorer
4. Dezember 2019, PRNewswire

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

How to use Azure Data Explorer for large-scale data analysis
12. Februar 2019, InfoWorld

bereitgestellt von Google News

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