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DBMS > Apache Phoenix vs. ClickHouse vs. Microsoft SQL Server vs. Postgres-XL vs. Vertica

Vergleich der Systemeigenschaften Apache Phoenix vs. ClickHouse vs. Microsoft SQL Server vs. Postgres-XL vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Phoenix  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenMicrosoft SQL Server  Xaus Vergleich ausschliessenPostgres-XL  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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.Relationales DBMS von MicrosoftBasiert auf PostgreSQL und ist um Clusterfähigkeiten (scale out) erweitert.Cloud 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.
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleTime Series DBMSDocument Store
Graph DBMS
Spatial DBMS
Document Store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,97
Rang#126  Overall
#59  Relational DBMS
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte824,29
Rang#3  Overall
#3  Relational DBMS
Punkte0,49
Rang#256  Overall
#117  Relational DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitephoenix.apache.orgclickhouse.comwww.microsoft.com/­en-us/­sql-serverwww.postgres-xl.orgwww.vertica.com
Technische Dokumentationphoenix.apache.orgclickhouse.com/­docslearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgres-xl.org/­documentationvertica.com/­documentation
EntwicklerApache Software FoundationClickhouse Inc.MicrosoftOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr2014201619892014 infoseit 2012, ursprünglich genannt StormDB2005
Aktuelle Version5.0-HBase2, July 2018 and 4.15-HBase1, December 2019v24.4.1.2088-stable, Mai 2024SQL Server 2022, November 202210 R1, Oktober 201812.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0kommerziell infoeingeschränkte kostenlose Version verfügbarOpen Source infoMozilla public licensekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
ImplementierungsspracheJavaC++C++CC++
Server BetriebssystemeLinux
Unix
Windows
FreeBSD
Linux
macOS
Linux
Windows
Linux
macOS
Linux
Datenschemaja infolate-bound, schema-on-read capabilitiesjajajaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaja infoXML type, but no XML query functionalitynein
SekundärindizesjayesjajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLjaClose to ANSI SQL (SQL/JSON + extensions)jaja infodistributed, parallel query executionFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJDBCgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C# 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++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenjaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javabenutzerdefinierte Funktionenyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinjajayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkey based and customTabellen können auf mehrere Files aufgeteilt werden (horizontale Partitionierung), sharding möglich (mittels federation)horizontale Partitionierunghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation
Source-Replica Replikation
Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.ja, aber abhängig von der SQL-Server EditionMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce OperationenHadoop integrationneinneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjajaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDACID infoMVCCACID
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 haltenjajajaneinnein
Berechtigungskonzept infoZugriffskontrolleAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess 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.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Apache PhoenixClickHouseMicrosoft SQL ServerPostgres-XLVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
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 SQL Server gives you a fully graphical approach to database management and development.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
» mehr

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

Weitere Ressourcen
Apache PhoenixClickHouseMicrosoft SQL ServerPostgres-XLVertica infoOpenText™ Vertica™
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