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DBMS > ClickHouse vs. Google Cloud Bigtable vs. Oracle vs. Vertica vs. Warp 10

Vergleich der Systemeigenschaften ClickHouse vs. Google Cloud Bigtable vs. Oracle vs. Vertica vs. Warp 10

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenOracle  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessenWarp 10  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Weit verbreitetes, allgemein einsetzbares RDBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primäres DatenbankmodellRelational DBMSKey-Value Store
Wide Column Store
Relational DBMSRelational DBMS infoColumn orientedTime Series DBMS
Sekundäre DatenbankmodelleTime Series DBMSDocument Store
Graph DBMS infowith Oracle Spatial and Graph
RDF Store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vektor DBMS infosince Oracle 23
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte1236,29
Rang#1  Overall
#1  Relational DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Punkte0,07
Rang#349  Overall
#32  Time Series DBMS
Websiteclickhouse.comcloud.google.com/­bigtablewww.oracle.com/­databasewww.vertica.comwww.warp10.io
Technische Dokumentationclickhouse.com/­docscloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­databasevertica.com/­documentationwww.warp10.io/­content/­02_Getting_started
EntwicklerClickhouse Inc.GoogleOracleOpenText infopreviously Micro Focus and Hewlett PackardSenX
Erscheinungsjahr20162015198020052015
Aktuelle Versionv24.4.1.2088-stable, Mai 202423c, September 202312.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziell infoeingeschränkte kostenlose Version verfügbarkommerziell infoLimitierte Community Edition gratisOpen Source infoApache License 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersnein
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.
ImplementierungsspracheC++C und C++C++Java
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
LinuxLinux
OS X
Windows
Datenschemajaschemafreija infoSchemaless in JSON and XML columnsYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinjayesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
SekundärindizesyesneinjaNo Indexes Required. Different internal optimization strategy, but same functionality included.nein
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinja infomit proprietären ErweiterungenFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.nein
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP API
Jupyter
WebSocket
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++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresjaneinPL/SQL infoauch Java stored procedures möglichyes, PostgreSQL PL/pgSQL, with minor differencesja infoWarpScript
Triggersneinneinjayes, called Custom Alertsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customShardingSharding, horizontal partitioninghorizontal partitioning, hierarchical partitioningSharding infobasierend auf HBase
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-Source Replikation
Source-Replica Replikation
Multi-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.frei wählbarer Replikationsfaktor infobasierend auf HBase
MapReduce infoBietet ein API für Map/Reduce Operationenneinjanein infokann in PL/SQL realisiert werdenno infoBi-directional Spark integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobasierend auf HBase
Fremdschlüssel inforeferenzielle Integritätneinneinjajanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinAtomic single-row operationsACID infomit parameterisierbarem isolation levelACIDnein
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 haltenjaneinja infoVersion 12c introduced the new option 'Oracle Database In-Memory'neinja
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.Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashMandatory use of cryptographic tokens, containing fine-grained authorizations
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseGoogle Cloud BigtableOracleVertica infoOpenText™ Vertica™Warp 10
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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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
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr
Navicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment.
» mehr

Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux.
» mehr

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

Weitere Ressourcen
ClickHouseGoogle Cloud BigtableOracleVertica infoOpenText™ Vertica™Warp 10
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