DBMS > ClickHouse vs. GBase vs. PlanetScale
System Properties Comparison ClickHouse vs. GBase vs. PlanetScale
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|Editorial information provided by DB-Engines
|ClickHouse Xexclude from comparison
|GBase Xexclude from comparison
|PlanetScale 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.
|An analytical database for business intelligence with large customers in China.
|Scalable, distributed, serverless MySQL database platform built on top of Vitess
|Primary database model
|Secondary database models
|Time Series DBMS
|v188.8.131.528-stable, December 2023
|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)
|yes with proprietary extensions
|APIs and other access methods
MySQL wire protocol
PostgreSQL wire protocol
|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
|yes proprietary syntax
|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
|Eventual Consistency across shards
Immediate Consistency within a shard
|Foreign keys Referential integrity
|yes not for MyISAM storage engine
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID at shard level
|Concurrency Support for concurrent manipulation of data
|yes table locks or row locks depending on storage engine
|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.
|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.
|Users with fine-grained authorization concept no user groups or roles
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|Related products and services
|Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
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+Python+Nginx: Quick tutorial how handle your logs
ClickHouse Announces ClickPipes: A Continuous Data Ingestion Service for ClickHouse Cloud
provided by Google News
PlanetScale's Challenge to Oracle: Forking MySQL and Introducing Vector Search
PlanetScale forks MySQL to add vector support
PlanetScale Insights Anomalies introduces smart query monitoring
PlanetScale Ranked Number 188 Fastest-Growing Company in North America on the 2023 Deloitte Technology Fast ...
PlanetScale Joins AWS ISV Accelerate Program
provided by Google News
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