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DBMS > ClickHouse vs. GigaSpaces vs. InterSystems IRIS vs. Tarantool

System Properties Comparison ClickHouse vs. GigaSpaces vs. InterSystems IRIS vs. Tarantool

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
Document store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.67
Rank#44  Overall
#28  Relational DBMS
Score1.32
Rank#173  Overall
#32  Document stores
#7  Object oriented DBMS
Score2.59
Rank#116  Overall
#23  Document stores
#21  Key-value stores
#2  Object oriented DBMS
#58  Relational DBMS
Score1.77
Rank#146  Overall
#27  Key-value stores
Websiteclickhouse.techwww.gigaspaces.comwww.intersystems.com/­products/­intersystems-iriswww.tarantool.io
Technical documentationclickhouse.tech/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.tarantool.io/­en/­doc
DeveloperClickhouse Inc.Gigaspaces TechnologiesInterSystemsVK
Initial release2016200020182008
Current releasev22.8.5.29-lts, September 202215.5, September 20202021.1, June 20212.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetC and C++
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
Solaris
Windows
AIX
Linux
macOS
Windows
BSD
Linux
macOS
Data schemeyesschema-freedepending on used data modelschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesstring, double, decimal, uuid, integer, blob, boolean
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 infoXML can be used for describing objects metadatayesno
Secondary indexesyes, when using the MergeTree engineyesyesyes
SQL infoSupport of SQLClose to ANSI SQLSQL-99 for query and DML statementsyesFull-featured ANSI SQL support
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
Open binary protocol
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
C++
Java
Python
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesyesLua, C and SQL stored procedures
Triggersnoyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlyesAccess rights for users and roles

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More resources
ClickHouseGigaSpacesInterSystems IRISTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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