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DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. FatDB vs. Fujitsu Enterprise Postgres vs. HyperSQL

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. FatDB vs. Fujitsu Enterprise Postgres vs. HyperSQL

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFatDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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 networksA .NET NoSQL DBMS that can integrate with and extend SQL Server.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelWide column storeDocument store
Key-value store
Document store
Key-value store
Relational DBMSRelational 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.postgresql.fastware.comhsqldb.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestorewww.postgresql.fastware.com/­product-manualshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperAlibabaAtos Convergence CreatorsFatCloudPostgreSQL Global Development Group, Fujitsu Australia Software Technology
Initial release2016201620122001
Current release1703Fujitsu Enterprise Postgres 14, January 20222.7.2, June 2023
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#CJava
Server operating systemshostedLinuxWindowsLinux
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonono infoVia inetgration in SQL Serveryesyes
APIs and other access methodsHTTP APILDAP.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesJava
Python
All languages with LDAP bindingsC#.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresnonoyes infovia applicationsuser defined functionsJava, SQL
Triggersnoyesyes infovia applicationsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionShardingpartitioning by range, list and by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensLDAP bind authenticationno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreAtos Standard Common RepositoryFatDBFujitsu Enterprise PostgresHyperSQL infoalso known as HSQLDB
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