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DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Cachelot.io vs. Firebase Realtime Database vs. Postgres-XL

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Cachelot.io vs. Firebase Realtime Database vs. Postgres-XL

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCachelot.io  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPostgres-XL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksIn-memory caching systemCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeDocument store
Key-value store
Key-value storeDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.04
Rank#388  Overall
#62  Key-value stores
Score13.64
Rank#39  Overall
#6  Document stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeatos.net/en/convergence-creators/portfolio/standard-common-repositorycachelot.iofirebase.google.com/­products/­realtime-databasewww.postgres-xl.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorefirebase.google.com/­docs/­databasewww.postgres-xl.org/­documentation
DeveloperAlibabaAtos Convergence CreatorsGoogle infoacquired by Google 2014
Initial release20162016201520122014 infosince 2012, originally named StormDB
Current release170310 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoSimplified BSD LicensecommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemshostedLinuxFreeBSD
Linux
OS X
hostedLinux
macOS
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnonoyes infoXML type, but no XML query functionality
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnonononoyes infodistributed, parallel query execution
APIs and other access methodsHTTP APILDAPMemcached protocolAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
All languages with LDAP bindings.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnononolimited functionality with using 'rules'user defined functions
TriggersnoyesnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsnoyesACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights based on subaccounts and tokensLDAP bind authenticationnoyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreAtos Standard Common RepositoryCachelot.ioFirebase Realtime DatabasePostgres-XL
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