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DBMS > ClickHouse vs. MonetDB vs. SAP SQL Anywhere vs. Sphinx

System Properties Comparison ClickHouse vs. MonetDB vs. SAP SQL Anywhere vs. Sphinx

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonMonetDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA relational database management system that stores data in columnsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#82  Overall
#41  Relational DBMS
Score1.91
Rank#115  Overall
#57  Relational DBMS
Score5.43
Rank#58  Overall
#32  Relational DBMS
Score7.04
Rank#49  Overall
#5  Search engines
Websiteclickhouse.yandexwww.monetdb.orgwww.sap.com/­products/­sql-anywhere.htmlsphinxsearch.com
Technical documentationclickhouse.yandex/­docswww.monetdb.org/­Documentationhelp.sap.com/­sql-anywheresphinxsearch.com/­docs
DeveloperYandex LLCMonetDB BVSAP infoformerly SybaseSphinx Technologies Inc.
Initial release2016200419922001
Current releasev19.13.3.26, August 2019Apr2019, April 201917, July 20153.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla Public License 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.yes
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes, in SQL, C, Ryes, in C/C++, Java, .Net or Perlno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoMaster-slave replication available in experimental statusMaster-slave replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
ClickHouseMonetDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinx
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

Remote Tables and Authorization
10 August 2018

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseMonetDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSphinx
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