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DBMS > Atos Standard Common Repository vs. ClickHouse vs. GigaSpaces vs. Tarantool

System Properties Comparison Atos Standard Common Repository vs. ClickHouse vs. GigaSpaces vs. Tarantool

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonClickHouse  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTarantool  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksColumn-oriented Relational DBMS powering YandexHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
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
Score13.88
Rank#44  Overall
#28  Relational DBMS
Score1.30
Rank#177  Overall
#31  Document stores
#7  Object oriented DBMS
Score1.92
Rank#140  Overall
#26  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryclickhouse.techwww.gigaspaces.comwww.tarantool.io
Technical documentationclickhouse.tech/­docsdocs.gigaspaces.com/­latest/­landing.htmlwww.tarantool.io/­en/­doc
DeveloperAtos Convergence CreatorsClickhouse Inc.Gigaspaces TechnologiesVK
Initial release2016201620002008
Current release1703v22.8.5.29-lts, September 202215.5, September 20202.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen 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 languageJavaC++Java, C++, .NetC and C++
Server operating systemsLinuxFreeBSD
Linux
macOS
Linux
macOS
Solaris
Windows
BSD
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateoptionalyesyesstring, 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.yesnono infoXML can be used for describing objects metadatano
Secondary indexesyesyes, when using the MergeTree engineyesyes
SQL infoSupport of SQLnoClose to ANSI SQLSQL-99 for query and DML statementsFull-featured ANSI SQL support
APIs and other access methodsLDAPHTTP REST
JDBC
ODBC
Proprietary protocol
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Open binary protocol
Supported programming languagesAll languages with LDAP bindingsC# 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
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnonoyesLua, C and SQL stored procedures
Triggersyesnoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononoyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID, 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 controlLDAP bind authenticationAccess rights for users and rolesRole-based access controlAccess rights for users and roles

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More resources
Atos Standard Common RepositoryClickHouseGigaSpacesTarantool
DB-Engines blog posts

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

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