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DBMS > Databricks vs. GBase vs. Google Cloud Firestore vs. Ignite vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Databricks vs. GBase vs. Google Cloud Firestore vs. Ignite vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatabricks  Xaus Vergleich ausschliessenGBase  Xaus Vergleich ausschliessenGoogle Cloud Firestore  Xaus Vergleich ausschliessenIgnite  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Apache 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 DatenbankmodellDocument Store
Relational DBMS
Relational DBMSDocument StoreKey-Value Store
Relational DBMS
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument 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
Punkte78,61
Rang#15  Overall
#2  Document Stores
#10  Relational DBMS
Punkte1,07
Rang#185  Overall
#86  Relational DBMS
Punkte7,85
Rang#51  Overall
#8  Document Stores
Punkte3,16
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitewww.databricks.comwww.gbase.cnfirebase.google.com/­products/­firestoreignite.apache.orgazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdocs.databricks.comfirebase.google.com/­docs/­firestoreapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerDatabricksGeneral Data Technology Co., Ltd.GoogleApache Software FoundationMicrosoft
Erscheinungsjahr20132004201720152019
Aktuelle VersionGBase 8a, GBase 8s, GBase 8cApache Ignite 2.6cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoApache 2.0kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC, Java, PythonC++, Java, .Net
Server BetriebssystemegehostetLinuxgehostetLinux
OS X
Solaris
Windows
gehostet
DatenschemaFlexible Schema (defined schema, partial schema, schema free)jaschemafreijaFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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, XSLTjajaneinjaja
Sekundärindizesjajajajaall fields are automatically indexed
SQL infoSupport of SQLwith Databricks SQLStandard with numerous extensionsneinANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
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 ProgrammiersprachenPython
R
Scala
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenuser defined functionsyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, R
Triggersjayes, with Cloud Functionsyes (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 partitioningShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjajaMulti-Source Replikationyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenUsing Cloud Dataflowyes (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 ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDjaACIDnein
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 haltenneinjanein
Berechtigungskonzept infoZugriffskontrollejaAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
DatabricksGBaseGoogle Cloud FirestoreIgniteMicrosoft Azure Data Explorer
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Weitere Ressourcen
DatabricksGBaseGoogle Cloud FirestoreIgniteMicrosoft Azure Data Explorer
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