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DBMS > Amazon DocumentDB vs. Atos Standard Common Repository vs. Citus vs. GigaSpaces

System Properties Comparison Amazon DocumentDB vs. Atos Standard Common Repository vs. Citus vs. GigaSpaces

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCitus  Xexclude from comparisonGigaSpaces  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsDocument storeGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Websiteaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.citusdata.comwww.gigaspaces.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.citusdata.comdocs.gigaspaces.com/­latest/­landing.html
DeveloperAtos Convergence CreatorsGigaspaces Technologies
Initial release2019201620102000
Current release17038.1, December 201815.5, September 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJava, C++, .Net
Server operating systemshostedLinuxLinuxLinux
macOS
Solaris
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesyes infospecific XML type available, but no XML query functionalityno infoXML can be used for describing objects metadata
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyes infostandard, with numerous extensionsSQL-99 for query and DML statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)LDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindings.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyesyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standardRole-based access control

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More resources
Amazon DocumentDBAtos Standard Common RepositoryCitusGigaSpaces
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