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DBMS > Axibase vs. GigaSpaces vs. Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. Warp 10

Vergleich der Systemeigenschaften Axibase vs. GigaSpaces vs. Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. Warp 10

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAxibase  Xaus Vergleich ausschliessenGigaSpaces  Xaus Vergleich ausschliessenGoogle Cloud Datastore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenWarp 10  Xaus Vergleich ausschliessen
KurzbeschreibungSkalierbares Timeseries DBMS basierend auf HBase mit integrierter Rule Engine und VisualisierungHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformFully managed big data interactive analytics platformTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primäres DatenbankmodellTime Series DBMSDocument Store
Object oriented DBMS infoValues are user defined objects
Document StoreRelational DBMS infocolumn orientedTime Series DBMS
Sekundäre DatenbankmodelleGraph DBMS
Suchmaschine
Document 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
Punkte0,29
Rang#292  Overall
#25  Time Series DBMS
Punkte0,97
Rang#192  Overall
#32  Document Stores
#6  Object oriented DBMS
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,07
Rang#349  Overall
#32  Time Series DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.gigaspaces.comcloud.google.com/­datastoreazure.microsoft.com/­services/­data-explorerwww.warp10.io
Technische Dokumentationdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.warp10.io/­content/­02_Getting_started
EntwicklerAxibase CorporationGigaspaces TechnologiesGoogleMicrosoftSenX
Erscheinungsjahr20132000200820192015
Aktuelle Version1558515.5, September 2020cloud service with continuous releases
Lizenz infoCommercial or Open Sourcekommerziell infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache Version 2; Commercial licenses availablekommerziellkommerziellOpen Source infoApache License 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava, C++, .NetJava
Server BetriebssystemeLinuxLinux
macOS
Solaris
Windows
gehostetgehostetLinux
OS X
Windows
DatenschemajaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infoshort, integer, long, float, double, decimal, stringjaja, Details hierja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infoXML can be used for describing objects metadataneinjanein
Sekundärindizesneinjajaall fields are automatically indexednein
SQL infoSupport of SQLSQL-like query languageSQL-99 for query and DML statementsSQL-like query language (GQL)Kusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
Proprietary protocol (Network API)
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Unterstützte ProgrammiersprachenGo
Java
PHP
Python
R
Ruby
.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresjajamit Google App EngineYes, possible languages: KQL, Python, Rja infoWarpScript
TriggersjajaCallbacks mit Google Apps Engineja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding infobasierend auf HBase
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationMulti-Source Replikation infosynchronous or asynchronous
Source-Replica Replikation infosynchronous or asynchronous
Multi-source replication using Paxosja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.frei wählbarer Replikationsfaktor infobasierend auf HBase
MapReduce infoBietet ein API für Map/Reduce Operationenjaja infoMap-Reduce pattern can be built with XAP task executorsja infomittels Google Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Immediate Consistency infobasierend auf HBase
Fremdschlüssel inforeferenzielle Integritätneinneinja infovia ReferenceProperties or Ancestor pathsneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinja
Berechtigungskonzept infoZugriffskontrolleRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory AuthenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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Weitere Ressourcen
AxibaseGigaSpacesGoogle Cloud DatastoreMicrosoft Azure Data ExplorerWarp 10
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