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DBMS > Atos Standard Common Repository vs. Cubrid vs. etcd vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. Cubrid vs. etcd vs. InterSystems Caché vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCubrid  Xexclude from comparisonetcd  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA distributed reliable key-value storeA multi-model DBMS and application serverElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorycubrid.com (korean)
cubrid.org (english)
etcd.io
github.com/­etcd-io/­etcd
www.intersystems.com/­products/­cacheazure.microsoft.com/­services/­synapse-analytics
Technical documentationcubrid.org/­manualsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.intersystems.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAtos Convergence CreatorsCUBRID Corporation, CUBRID FoundationInterSystemsMicrosoft
Initial release2016200819972016
Current release170311.0, January 20213.4, August 20192018.1.4, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaGoC++
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsyesschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateoptionalyesnoyesyes
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.yesnonoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
OLE DB
gRPC
JSON over HTTP
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
C#
Java
PHP
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoyesTransact SQL
Triggersyesyesyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardnoAccess rights for users, groups and rolesyes

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More resources
Atos Standard Common RepositoryCubridetcdInterSystems CachéMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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