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DBMS > ClickHouse vs. Datastax Enterprise vs. Kinetica vs. SAP HANA vs. SAP SQL Anywhere

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. Kinetica vs. SAP HANA vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonKinetica  Xexclude from comparisonSAP HANA  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.GPU-accelerated database for real-time analysis of large and streaming datasetsIn-memory, column based data store. Available as appliance or cloud serviceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.70
Rank#78  Overall
#41  Relational DBMS
Score8.66
Rank#44  Overall
#4  Wide column stores
Score0.57
Rank#198  Overall
#96  Relational DBMS
Score54.69
Rank#19  Overall
#12  Relational DBMS
Score5.79
Rank#56  Overall
#32  Relational DBMS
Websiteclickhouse.yandexwww.datastax.com/­products/­datastax-enterprisewww.kinetica.comwww.sap.com/­products/­hana.htmlwww.sap.com/­products/­sql-anywhere.html
Technical documentationclickhouse.yandex/­docsdocs.datastax.comwww.kinetica.com/­docshelp.sap.com/­hanahelp.sap.com/­sql-anywhere
DeveloperYandex LLCDataStaxKineticaSAPSAP infoformerly Sybase
Initial release20162011201220101992
Current releasev19.13.3.26, August 20196.7, December 20186.02.0 SPS04, April 201917, July 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++
Server operating systemsLinux
OS X
LinuxAppliance or cloud-serviceAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsSQLScript, Ryes, in C/C++, Java, .Net or Perl
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Shardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-slave replicationyesMaster-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACID
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 RAMyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users and roles on table levelyesfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseDatastax EnterpriseKineticaSAP HANASAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
ClickHouseDatastax EnterpriseKineticaSAP HANASAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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