DBMS > ClickHouse vs. GridDB vs. Yaacomo
System Properties Comparison ClickHouse vs. GridDB vs. Yaacomo
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|Editorial information provided by DB-Engines
|ClickHouse Xexclude from comparison
|GridDB Xexclude from comparison
|Yaacomo Xexclude from comparison
|Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
|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.
|Scalable in-memory time series database optimized for IoT and Big Data
|OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
|Primary database model
|Time Series DBMS
|Secondary database models
|Time Series DBMS
|v22.214.171.1248-stable, December 2023
|5.1, August 2022
|License Commercial or Open Source
|Open Source Apache 2.0
|Open Source AGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
|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
|yes numerical, string, blob, geometry, boolean, timestamp
|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)
|SQL92, SQL-like TQL (Toshiba Query Language)
|APIs and other access methods
MySQL wire protocol
PostgreSQL wire protocol
RESTful HTTP/JSON 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
|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
|Connector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate consistency within container, eventual consistency across containers
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|ACID at container level
|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.
|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 can be defined per database
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|GridDB is a highly scalable, in-memory time series database optimized for IoT and...
|1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
|Typical application scenarios
|Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
|Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
|GitHub trending repository
|Licensing and pricing models
|Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
We invite representatives of system vendors to contact us for updating and extending the system information,
|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
A 1000x Faster Database Solution: ClickHouse’s Aaron Katz
ClickHouse Announces Launch of ClickPipes
ClickHouse Announces ClickPipes: A Continuous Data Ingestion Service for ClickHouse Cloud
provided by Google News
Toshiba launches cloudy managed IoT database service running its own GridDB
Toshiba's Distributed Database GridDB(R) Now Features Scale-Out and Scale-Up combo for Petabyte-scale Data ...
GridDB Use case Large-scale high-speed processing of smart meter data following the deregulation of electrical power ...
provided by Google News
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