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DBMS > ClickHouse vs. HugeGraph vs. Microsoft Azure Data Explorer vs. Sadas Engine vs. Trino

Vergleich der Systemeigenschaften ClickHouse vs. HugeGraph vs. Microsoft Azure Data Explorer vs. Sadas Engine vs. Trino

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenHugeGraph  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSadas Engine  Xaus Vergleich ausschliessenTrino  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.A fast-speed and highly-scalable Graph DBMSFully managed big data interactive analytics platformSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primäres DatenbankmodellRelational DBMSGraph DBMSRelational DBMS infocolumn orientedRelational DBMSRelational 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
Document Store
Key-Value Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte0,13
Rang#336  Overall
#32  Graph DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#158  Relational DBMS
Punkte5,00
Rang#66  Overall
#36  Relational DBMS
Websiteclickhouse.comgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­data-explorerwww.sadasengine.comtrino.io
Technische Dokumentationclickhouse.com/­docshugegraph.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
EntwicklerClickhouse Inc.BaiduMicrosoftSADAS s.r.l.Trino Software Foundation
Erscheinungsjahr20162018201920062012 info2020 rebranded from PrestoSQL
Aktuelle Versionv24.4.1.2088-stable, Mai 20240.9cloud service with continuous releases8.0
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0kommerziellkommerziell infofree trial version availableOpen Source infoApache Version 2.0
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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
ImplementierungsspracheC++JavaC++Java
Server BetriebssystemeFreeBSD
Linux
macOS
Linux
macOS
Unix
gehostetAIX
Linux
Windows
Linux
macOS infofor devlopment
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jaja
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-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizesyesja infoalso supports composite index and range indexall fields are automatically indexedjadepending on connected data-source
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinKusto Query Language (KQL), SQL subsetjaja
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Java API
RESTful HTTP API
TinkerPop Gremlin
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Proprietäres Protokoll
JDBC
RESTful HTTP API
Trino CLI
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
Groovy
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-seitige Scripts infoStored Proceduresjaasynchronous Gremlin script jobsYes, possible languages: KQL, Python, Rneinyes, depending on connected data-source
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customja infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud servicehorizontale Partitionierungdepending on connected data-source
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.ja infodepending on used storage backend, e.g. Cassandra and HBaseja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keinedepending on connected data-source
MapReduce infoBietet ein API für Map/Reduce Operationenneinvia hugegraph-sparkSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistencydepending on connected data-source
Fremdschlüssel inforeferenzielle Integritätneinja infoedges in graphneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneindepending on connected data-source
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajadepending on connected data-source
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja infomanaged by 'Learn by Usage'
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.Users, roles and permissionsAzure Active Directory AuthenticationAccess rights for users, groups and roles according to SQL-standardSQL standard access control
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseHugeGraphMicrosoft Azure Data ExplorerSadas EngineTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» mehr
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» mehr
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» mehr
Key customersTrino is widely adopted across the globe as freely-available open source software....
» mehr
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» mehr
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» mehr
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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
ClickHouseHugeGraphMicrosoft Azure Data ExplorerSadas EngineTrino
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