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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameeXtremeDB  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenLevelDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungNatively in-memory DBMS with options for persistency, high-availability and clusteringWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesFully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Relational DBMSKey-Value StoreKey-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)
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte2,35
Rang#111  Overall
#19  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitewww.mcobject.comwww.gbase.cnhazelcast.comgithub.com/­google/­leveldbazure.microsoft.com/­services/­data-explorer
Technische Dokumentationwww.mcobject.com/­docs/­extremedb.htmhazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerMcObjectGeneral Data Technology Co., Ltd.HazelcastGoogleMicrosoft
Erscheinungsjahr20012004200820112019
Aktuelle Version8.2, 2021GBase 8a, GBase 8s, GBase 8c5.3.6, November 20231.23, Februar 2021cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++C, Java, PythonJavaC++
Server BetriebssystemeAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxAlle Betriebssysteme mit einer Java VMIllumos
Linux
OS X
Windows
gehostet
DatenschemajajaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaneinja 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 availablejaja infothe object must implement a serialization strategyneinja
Sekundärindizesjajajaneinall fields are automatically indexed
SQL infoSupport of SQLja infowith the option: eXtremeSQLStandard with numerous extensionsSQL-like query languageneinKusto Query Language (KQL), SQL subset
APIs und andere Zugriffskonzepte.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
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
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresjauser defined functionsja infoEvent Listeners, Executor ServicesneinYes, possible languages: KQL, Python, R
Triggersja infoby defining eventsjaja infoEventsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung / shardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
jaja infoReplicated Mapkeineja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjajaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDone or two-phase-commit; repeatable reads; read commitedneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infowith automatic compression on writesja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajanein
Berechtigungskonzept infoZugriffskontrollejaRole-based access controlneinAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
eXtremeDBGBaseHazelcastLevelDBMicrosoft Azure Data Explorer
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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eXtremeDBGBaseHazelcastLevelDBMicrosoft Azure Data Explorer
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