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DBMS > ClickHouse vs. Elasticsearch vs. Kinetica

System Properties Comparison ClickHouse vs. Elasticsearch vs. Kinetica

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonElasticsearch  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.97
Rank#44  Overall
#28  Relational DBMS
Score143.75
Rank#8  Overall
#1  Search engines
Score0.93
Rank#237  Overall
#109  Relational DBMS
Websiteclickhouse.techwww.elastic.co/­elasticsearchwww.kinetica.com
Technical documentationclickhouse.tech/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.kinetica.com/­docs
DeveloperClickhouse Inc.ElasticKinetica
Initial release201620102012
Current releasev23.4.1.1943-stable, April 20238.6, January 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC, C++
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VMLinux
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyes, when using the MergeTree engineyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
Java API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
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
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnoyes infoby using the 'percolation' featureyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table level
More information provided by the system vendor
ClickHouseElasticsearchKinetica
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
ClickHouseElasticsearchKinetica
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