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DBMS > ClickHouse vs. Drizzle vs. Microsoft Azure Data Explorer vs. Qdrant vs. YDB

Vergleich der Systemeigenschaften ClickHouse vs. Drizzle vs. Microsoft Azure Data Explorer vs. Qdrant vs. YDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenDrizzle  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenQdrant  Xaus Vergleich ausschliessenYDB  Xaus Vergleich ausschliessen
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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.MySQL fork mit erweiterbarem Micro-Kernel und mit Betonung von Leistung vor Kompatibilität.Fully managed big data interactive analytics platformA high-performance vector database with neural network or semantic-based matchingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMS infocolumn orientedVektor DBMSDocument Store
Relational 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
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,28
Rang#167  Overall
#6  Vektor DBMS
Punkte0,33
Rang#287  Overall
#43  Document Stores
#132  Relational DBMS
Websiteclickhouse.comazure.microsoft.com/­services/­data-explorergithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­ydb-platform/­ydb
ydb.tech
Technische Dokumentationclickhouse.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerqdrant.tech/­documentationydb.tech/­en/­docs
EntwicklerClickhouse Inc.Drizzle Projekt, ursprünglich gestartet von Brian AkerMicrosoftQdrantYandex
Erscheinungsjahr20162008201920212019
Aktuelle Versionv24.4.1.2088-stable, Mai 20247.2.4, September 2012cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLkommerziellOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
ImplementierungsspracheC++C++Rust
Server BetriebssystemeFreeBSD
Linux
macOS
FreeBSD
Linux
OS X
gehostetDocker
Linux
macOS
Windows
Linux
DatenschemajajaFixed schema with schema-less datatypes (dynamic)schemafreiFlexible Schema (defined schema, partial schema, schema free)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesNumbers, Strings, Geo, Booleanja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein
Sekundärindizesyesjaall fields are automatically indexedja infoKeywords, numberic ranges, geo, full-textja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)ja infomit propriätären ErweiterungenKusto Query Language (KQL), SQL subsetneinSQL-like query language (YQL)
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
JDBCMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API (DynamoDB compatible)
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
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
PHP
Python
Server-seitige Scripts infoStored ProceduresjaneinYes, possible languages: KQL, Python, Rnein
Triggersneinnein infoHooks für Callbacks innerhalb der Servers können verwendet werden.ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-Source Replikation
Source-Replica Replikation
ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Collection-level replicationActive-passive shard replication
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency, tunable consistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACID
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 haltenjaneinjanein
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.Pluggable Authentication Mechanismen infoz.B. LDAP, HTTPAzure Active Directory AuthenticationKey-based authenticationAccess rights defined for Yandex Cloud users

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Zugehörige Produkte und Dienstleistungen
DrittanbieterAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
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DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
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Weitere Ressourcen
ClickHouseDrizzleMicrosoft Azure Data ExplorerQdrantYDB
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