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DBMS > Apache Phoenix vs. ClickHouse vs. Postgres-XL vs. Vertica vs. Virtuoso

System Properties Comparison Apache Phoenix vs. ClickHouse vs. Postgres-XL vs. Vertica vs. Virtuoso

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonClickHouse  Xexclude from comparisonPostgres-XL  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVirtuoso  Xexclude from comparison
DescriptionA 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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCloud 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.Virtuoso is a multi-model hybrid-RDBMS that supports management of data represented as relational tables and/or property graphs
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn orientedDocument store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF store
Search engine
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score4.27
Rank#73  Overall
#13  Document stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF stores
#9  Search engines
Websitephoenix.apache.orgclickhouse.comwww.postgres-xl.orgwww.vertica.comvirtuoso.openlinksw.com
Technical documentationphoenix.apache.orgclickhouse.com/­docswww.postgres-xl.org/­documentationvertica.com/­documentationdocs.openlinksw.com/­virtuoso
DeveloperApache Software FoundationClickhouse Inc.OpenText infopreviously Micro Focus and Hewlett PackardOpenLink Software
Initial release201420162014 infosince 2012, originally named StormDB20051998
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019v24.4.1.2088-stable, May 202410 R1, October 201812.0.3, January 20237.2.11, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoMozilla public licensecommercial infoLimited community edition freeOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored 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.
Implementation languageJavaC++CC++C
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
macOS
Linux
macOS
LinuxAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infoXML type, but no XML query functionalitynoyes
Secondary indexesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLyesClose to ANSI SQL (SQL/JSON + extensions)yes infodistributed, parallel query executionFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes infoSQL-92, SQL-200x, SQL-3, SQLX
APIs and other access methodsJDBCgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
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
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Supported programming languagesC
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functionsyes, PostgreSQL PL/pgSQL, with minor differencesyes infoVirtuoso PL
Triggersnonoyesyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customhorizontal partitioninghorizontal partitioning, hierarchical partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Chain, star, and bi-directional replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono infoBi-directional Spark integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlAccess 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.fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Apache PhoenixClickHousePostgres-XLVertica infoOpenText™ Vertica™Virtuoso
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Broad use across enterprises and governments including — European Union (EU) US Government...
» more
Market metricsLargest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more
Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
» more

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Related products and services
3rd partiesAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

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

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More resources
Apache PhoenixClickHousePostgres-XLVertica infoOpenText™ Vertica™Virtuoso
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