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

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexGPU-accelerated database for real-time analysis of large and streaming datasetsA relational database management system that stores data in columnsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.86
Rank#67  Overall
#37  Relational DBMS
Score0.61
Rank#197  Overall
#95  Relational DBMS
Score1.77
Rank#123  Overall
#61  Relational DBMS
Score6.33
Rank#54  Overall
#31  Relational DBMS
Websiteclickhouse.techwww.kinetica.comwww.monetdb.orgwww.sap.com/­products/­sql-anywhere.html
Technical documentationclickhouse.tech/­docswww.kinetica.com/­docswww.monetdb.org/­Documentationhelp.sap.com/­sql-anywhere
DeveloperYandex LLCKineticaMonetDB BVSAP infoformerly Sybase
Initial release2016201220041992
Current releasev20.3.8.53, April 20206.0Nov2019-SP1, December 201917, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0commercial
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 languageC++C, C++C
Server operating systemsFreeBSD
Linux
macOS
LinuxFreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC# 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
Scala info3rd party library
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyes, in SQL, C, Ryes, in C/C++, Java, .Net or Perl
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone infoMaster-slave replication available in experimental statusMaster-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseKineticaMonetDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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

Optimistic Concurrency Control in MonetDB
3 January 2020

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseKineticaMonetDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Recent citations in the news

From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
10 October 2019, ComputerWeekly.com

ClickHouse - from website clicks to ultra-fast analytics solution -
27 April 2020, Enterprise Times

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

provided by Google News

GPU Database Market Opportunity Analysis and Industry Forecast 2028 | Kinetica, OmniSci,SQream , Neo4j ,...
4 June 2020, Azizsalon News

GPU Database Market Size (COVID-19 Impact) 2020-26: Kinetica DB, OmniSci, Neo4j
1 June 2020, Bandera County Courier

Global GPU Database Market Projected to Reach USD XX.XX billion by 2025- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc.
22 May 2020, Cole of Duty

Disaster Tech & Kinetica Launches Crisis Management Platform
8 May 2020, Geospatial World

COVID-19 Real-Time Crisis Management Platform Data-Driven Emergency
12 May 2020, AiThority

provided by Google News

RDBMS Software Market 2020 Global analysis, opportunities and forecast to 2026 | By Top Leading Vendors like Microsoft, Oracle, PostgreSQL Global Development Group, SQLite, IBM, SolarWinds IT Operations Management, Cubrid, TmaxSoft, CA Technologies, ThinkSQL, FrontBase, MonetDB, VoltDB, and More?
4 June 2020, Jewish Life News

Deep Learning Market Set for Rapid Growth Forecast by 2025: Advanced Micro Devices, ARM Ltd, Clarifai
4 June 2020, Jewish Life News

MonetDB Solutions secures investment from ServiceNow — CWI Amsterdam
1 October 2019, Centrum Wiskunde & Informatica (CWI)

Stefan Manegold wins 2020 SIGMOD Contributions Award — CWI Amsterdam
29 May 2020, Centrum Wiskunde & Informatica (CWI)

CWI's 25th spin-off develops software of the future
18 May 2020, Centrum Wiskunde & Informatica (CWI)

provided by Google News

SAP SQL Anywhere
13 October 2016, TechTarget

SAP gives SQL Anywhere a new IoT injection
16 July 2015, Computerworld

SAP BAPI (Business Application Programming Interface)
2 April 2018, TechTarget

SAP IoT products: How do they work with ERP and big data?
28 December 2015, TechTarget

How to manage mobile databases: Tips and best practices
21 August 2017, TechRepublic

provided by Google News

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