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DBMS > ClickHouse vs. Hive vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. TinkerGraph

Vergleich der Systemeigenschaften ClickHouse vs. Hive vs. IBM Db2 Event Store vs. Microsoft Azure Data Explorer vs. TinkerGraph

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NameClickHouse  Xaus Vergleich ausschliessenHive  Xaus Vergleich ausschliessenIBM Db2 Event Store  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTinkerGraph  Xaus Vergleich ausschliessen
KurzbeschreibungA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Data Warehouse Software zum Abfragen und Verwalten großer verteilter Datenmengen beispielsweise in HadoopDistributed Event Store optimized for Internet of Things use casesFully managed big data interactive analytics platformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primäres DatenbankmodellRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Relational DBMS infocolumn orientedGraph DBMS
Sekundäre DatenbankmodelleTime Series 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
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte59,76
Rang#18  Overall
#12  Relational DBMS
Punkte0,27
Rang#309  Overall
#2  Event Stores
#28  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte0,13
Rang#345  Overall
#35  Graph DBMS
Websiteclickhouse.comhive.apache.orgwww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­data-explorertinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technische Dokumentationclickhouse.com/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerClickhouse Inc.Apache Software Foundation infoUrsprünglich von Facebook entwickeltIBMMicrosoft
Erscheinungsjahr20162012201720192009
Aktuelle Versionv24.4.1.2088-stable, Mai 20243.1.3, April 20222.0cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2kommerziell infofree developer edition availablekommerziellOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
ImplementierungsspracheC++JavaC und C++Java
Server BetriebssystemeFreeBSD
Linux
macOS
Alle Betriebssysteme mit einer Java VMLinux infoLinux, macOS, Windows for the developer additiongehostet
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)schemafrei
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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjanein
Sekundärindizesyesjaneinall fields are automatically indexednein
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)SQL-like DML and DDL statementsja infothrough the embedded Spark runtimeKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
JDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
TinkerPop 3
Unterstützte ProgrammiersprachenC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
C++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Groovy
Java
Server-seitige Scripts infoStored Proceduresjaja infoBenutzerdefinierte Funktion und Map-Reduce IntegrationjaYes, possible languages: KQL, Python, Rnein
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customShardingShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.frei wählbarer ReplikationsfaktorActive-active shard replicationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoAbfragen werden als MapReduce Jobs behandeltneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
keine
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja infoRelationships in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten DatenmanipulationenjajaNo - written data is immutablejanein
Durability infoDauerhafte Speicherung der DatenjajaYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storagejaoptional
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Zugriffsrechte für Benutzer, Gruppen und RollenBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authenticationnein

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Weitere Ressourcen
ClickHouseHiveIBM Db2 Event StoreMicrosoft Azure Data ExplorerTinkerGraph
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