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DBMS > Alibaba Cloud MaxCompute vs. Bangdb vs. GridGain vs. Microsoft Azure Data Explorer vs. Quasardb

Vergleich der Systemeigenschaften Alibaba Cloud MaxCompute vs. Bangdb vs. GridGain vs. Microsoft Azure Data Explorer vs. Quasardb

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAlibaba Cloud MaxCompute  Xaus Vergleich ausschliessenBangdb  Xaus Vergleich ausschliessenGridGain  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQuasardb  Xaus Vergleich ausschliessen
KurzbeschreibungMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingConverged and high performance database for device data, events, time series, document and graphGridGain is an in-memory computing platform, built on Apache IgniteFully managed big data interactive analytics platformDistributed, high-performance timeseries database
Primäres DatenbankmodellRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument Store
Graph DBMS
Time Series DBMS
Key-Value Store
Relational DBMS
Relational DBMS infocolumn orientedTime Series DBMS
Sekundäre DatenbankmodelleSpatial DBMSDocument 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
Punkte0,84
Rang#209  Overall
#98  Relational DBMS
Punkte0,16
Rang#338  Overall
#47  Document Stores
#32  Graph DBMS
#31  Time Series DBMS
Punkte1,55
Rang#150  Overall
#26  Key-Value Stores
#70  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,21
Rang#322  Overall
#29  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputebangdb.comwww.gridgain.comazure.microsoft.com/­services/­data-explorerquasar.ai
Technische Dokumentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.bangdb.comwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdoc.quasar.ai/­master
EntwicklerAlibabaSachin Sinha, BangDBGridGain Systems, Inc.Microsoftquasardb
Erscheinungsjahr20162012200720192009
Aktuelle VersionBangDB 2.0, October 2021GridGain 8.5.1cloud service with continuous releases3.14.1, Jänner 2024
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoBSD 3kommerziellkommerziellkommerziell infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC, C++Java, C++, .NetC++
Server BetriebssystemegehostetLinuxLinux
OS X
Solaris
Windows
gehostetBSD
Linux
OS X
Windows
DatenschemajaschemafreijaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejayes: string, long, double, int, geospatial, stream, eventsjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infointeger and binary
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjajanein
Sekundärindizesneinja infosecondary, composite, nested, reverse, geospatialjaall fields are automatically indexedja infomittels Tags
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetSQL-like query language
APIs und andere ZugriffskonzepteFluentd
Flume
MaxCompute Console
Propriätäres Protokoll
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Unterstützte ProgrammiersprachenJavaC
C#
C++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-seitige Scripts infoStored Proceduresuser defined functions infoin Javaneinyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, Rnein
Triggersneinyes, Notifications (with Streaming only)yes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation mit wählbarem Replikationsfaktor
MapReduce infoBietet ein API für Map/Reduce Operationenjaneinyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, optimistic concurrency controljajaja
Durability infoDauerhafte Speicherung der Datenjayes, implements WAL (Write ahead log) as welljajaja infomittels LevelDB
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinyes, run db with in-memory only modejaneinja infoTransient mode
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesyes (enterprise version only)Security Hooks for custom implementationsAzure Active Directory AuthenticationCryptographically strong user authentication and audit trail

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Weitere Ressourcen
Alibaba Cloud MaxComputeBangdbGridGainMicrosoft Azure Data ExplorerQuasardb
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