DBMS > ClickHouse vs. Kinetica
System Properties Comparison ClickHouse vs. Kinetica
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|Editorial information provided by DB-Engines
|ClickHouse Xexclude from comparison
|Kinetica Xexclude from comparison
|A high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.
|Fully vectorized database across both GPUs and CPUs
|Primary database model
|Secondary database models
|Time Series DBMS
Time Series DBMS
|v188.8.131.528-stable, December 2023
|7.1, August 2021
|License Commercial or Open Source
|Open Source Apache 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|SQL Support of SQL
|Close to ANSI SQL (SQL/JSON + extensions)
|SQL-like DML and DDL statements
|APIs and other access methods
MySQL wire protocol
PostgreSQL wire protocol
RESTful HTTP API
|Supported programming languages
|C# 3rd party library
Elixir 3rd party library
Go 3rd party library
Java 3rd party library
Kotlin 3rd party library
Nim 3rd party library
Perl 3rd party library
PHP 3rd party library
Python 3rd party library
R 3rd party library
Ruby 3rd party library
Scala 3rd party library
|Server-side scripts Stored procedures
|user defined functions
|yes triggers when inserted values for one or more columns fall within a specified range
|Partitioning methods Methods for storing different data on different nodes
|key based and custom
|Replication methods Methods for redundantly storing data on multiple nodes
|Asynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency or Eventual Consistency depending on configuration
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes GPU vRAM or System RAM
|User concepts Access control
|Access rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.
|Access rights for users and roles on table level
More information provided by the system vendor
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|Related products and services
|DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Recent citations in the news
Why Clickhouse Should Be Your Next Database
ClickHouse Announces Launch of ClickPipes
ClickHouse Announces ClickPipes: A Continuous Data Ingestion Service for ClickHouse Cloud
Can LLMs Replace Data Analysts? Getting Answers Using SQL
provided by Google News
Transforming spatiotemporal data analysis with GPUs and generative AI
Kinetica Unveils First SQL-GPT for Telecom, Transforming Natural Language into SQL Fine-Tuned for the Telco Industry
Kinetica Could Boost Nvidia In $70B Big Data Market
Review: Kinetica analyzes billions of rows in real time
provided by Google News
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