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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBangdb  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungConverged and high performance database for device data, events, time series, document and graphNatively 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 gridFully managed big data interactive analytics platform
Primäres DatenbankmodellDocument Store
Graph DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
Relational DBMSKey-Value StoreRelational DBMS infocolumn oriented
Sekundäre DatenbankmodelleSpatial DBMSDocument 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
Punkte0,08
Rang#347  Overall
#47  Document Stores
#34  Graph DBMS
#31  Time Series DBMS
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
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitebangdb.comwww.mcobject.comwww.gbase.cnhazelcast.comazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.bangdb.comwww.mcobject.com/­docs/­extremedb.htmhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerSachin Sinha, BangDBMcObjectGeneral Data Technology Co., Ltd.HazelcastMicrosoft
Erscheinungsjahr20122001200420082019
Aktuelle VersionBangDB 2.0, October 20218.2, 2021GBase 8a, GBase 8s, GBase 8c5.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoBSD 3kommerziellkommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziell
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, C++C und C++C, Java, PythonJava
Server BetriebssystemeLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxAlle Betriebssysteme mit einer Java VMgehostet
DatenschemaschemafreijajaschemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateyes: string, long, double, int, geospatial, stream, eventsjajajaja 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, XSLTneinnein infosupport of XML interfaces availablejaja infothe object must implement a serialization strategyja
Sekundärindizesja infosecondary, composite, nested, reverse, geospatialjajajaall fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolja infowith the option: eXtremeSQLStandard with numerous extensionsSQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzeptePropriätäres Protokoll
RESTful HTTP API
.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 ProgrammiersprachenC
C#
C++
Java
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinjauser defined functionsja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, R
Triggersyes, Notifications (with Streaming only)ja infoby defining eventsjaja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontale Partitionierung / shardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenselectable replication factor, Knob for CAP (enterprise version only)Active 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 Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjajaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDone or two-phase-commit; repeatable reads; read commitednein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, optimistic concurrency controlja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaja
Durability infoDauerhafte Speicherung der Datenyes, implements WAL (Write ahead log) as welljajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenyes, run db with in-memory only modejajanein
Berechtigungskonzept infoZugriffskontrolleyes (enterprise version only)jaRole-based access controlAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
BangdbeXtremeDBGBaseHazelcastMicrosoft Azure Data Explorer
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» mehr
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,...
» mehr
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» mehr
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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Weitere Ressourcen
BangdbeXtremeDBGBaseHazelcastMicrosoft Azure Data Explorer
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