DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > ClickHouse vs. Kinetica vs. LeanXcale

System Properties Comparison ClickHouse vs. Kinetica vs. LeanXcale

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexGPU-accelerated database for real-time analysis of large and streaming datasetsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#61  Overall
#34  Relational DBMS
Score0.67
Rank#196  Overall
#96  Relational DBMS
Score0.25
Rank#264  Overall
#46  Key-value stores
#121  Relational DBMS
Websiteclickhouse.techwww.kinetica.comwww.leanxcale.com
Technical documentationclickhouse.tech/­docswww.kinetica.com/­docs
DeveloperYandex LLCKineticaLeanXcale
Initial release201620122015
Current releasev20.3.15.133, July 20206.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
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++C, C++
Server operating systemsFreeBSD
Linux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesnoyes
SQL infoSupport of SQLClose to ANSI SQLSQL-like DML and DDL statementsyes infothrough Apache Derby
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
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
Java
Scala
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and roles on table level
More information provided by the system vendor
ClickHouseKineticaLeanXcale
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ClickHouseKineticaLeanXcale
Recent citations in the news

Real-World Lessons from DevOps: Dockerizing Applications
7 August 2020, Container Journal

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

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 2020 Driving Factors, COVID-19 Insight Analysis, Top Manufacturers – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, etc
13 August 2020, Owned

GPU Database Market Growth Strategies, Latest trends and Status 2020-2027 | Nvidia, Jedox, Blazegraph, Blazingdb, etc.
14 August 2020, Reports Watch

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
5 August 2020, Owned

Global GPU Database Market 2020 Highlights The Impact of Covid-19 on Economies & Business Development: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
12 August 2020, Bulletin Line

Global GPU Database Market 2020 Top Manufacturers Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb
6 August 2020, Red & Black Student Newspaper

provided by Google News

Top Companies In The Big Data Market | Competitive Assessment, Growth Rate, Opportunities, Sales, Demand Forecast
6 August 2020, Science Examiner

BIG DATA IN THE INSURANCE MARKET MAY TURN AS WINNER IN COVID-19 SCENARIO
28 July 2020, Science Examiner

The Big Data Market Rising Demand, Growth, Trend, Insights for Coming Years: Absolutdata, Accenture, BAE Systems, Cisco Systems, Dell Tech
4 August 2020, Owned

Tailored IoT & BigData Sandboxes and Testbeds for Smart, Autonomous and Personalized Services in the European Finance and Insurance Services Ecosystem | INFINITECH Project | H2020 | CORDIS | European Commission
30 March 2020, ICT Results

Big Data in the Automotive Industry, 2018-2021 Report - Market Forecast to Reach $5 Billion
3 September 2018, PR Newswire

provided by Google News

Job opportunities

Sr. Database Administrator, VIPER CDN
Comcast, Denver, CO

Sr. Timestream Specialist SA
Amazon Web Services, Inc., New York, NY

Systems Engineer - Database
Cloudflare, Austin, TX

Senior Software Engineer at Databento
Databento, Boston, MA

jobs by Indeed




Share this page

Featured Products

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Present your product here