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DBMS > GBase vs. Google Cloud Datastore vs. Hazelcast vs. Ignite vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften GBase vs. Google Cloud Datastore vs. Hazelcast vs. Ignite vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGBase  Xaus Vergleich ausschliessenGoogle Cloud Datastore  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Selbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformA widely adopted in-memory data gridApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Fully managed big data interactive analytics platform
Primäres DatenbankmodellRelational DBMSDocument StoreKey-Value StoreKey-Value Store
Relational DBMS
Relational 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
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte4,47
Rang#76  Overall
#12  Document Stores
Punkte5,97
Rang#57  Overall
#6  Key-Value Stores
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitewww.gbase.cncloud.google.com/­datastorehazelcast.comignite.apache.orgazure.microsoft.com/­services/­data-explorer
Technische Dokumentationcloud.google.com/­datastore/­docshazelcast.org/­imdg/­docsapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerGeneral Data Technology Co., Ltd.GoogleHazelcastApache Software FoundationMicrosoft
Erscheinungsjahr20042008200820152019
Aktuelle VersionGBase 8a, GBase 8s, GBase 8c5.3.6, November 2023Apache Ignite 2.6cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC, Java, PythonJavaC++, Java, .Net
Server BetriebssystemeLinuxgehostetAlle Betriebssysteme mit einer Java VMLinux
OS X
Solaris
Windows
gehostet
DatenschemajaschemafreischemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, Details hierjajaja 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, XSLTjaneinja infothe object must implement a serialization strategyjaja
Sekundärindizesjajajajaall fields are automatically indexed
SQL infoSupport of SQLStandard with numerous extensionsSQL-like query language (GQL)SQL-like query languageANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
Memcached Protokoll
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC#.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresuser defined functionsmit Google App Engineja infoEvent Listeners, Executor Servicesyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, R
TriggersjaCallbacks mit Google Apps Engineja infoEventsyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaMulti-source replication using Paxosja infoReplicated Mapyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenja infomittels Google Cloud Dataflowjayes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate 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.Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaja infovia ReferenceProperties or Ancestor pathsneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsone or two-phase-commit; repeatable reads; read commitedACIDnein
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 haltenneinjajanein
Berechtigungskonzept infoZugriffskontrollejaAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlSecurity Hooks for custom implementationsAzure Active Directory Authentication

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Weitere Ressourcen
GBaseGoogle Cloud DatastoreHazelcastIgniteMicrosoft Azure Data Explorer
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