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DBMS > Atos Standard Common Repository vs. Cubrid vs. etcd vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. Cubrid vs. etcd vs. IBM Db2 Event Store vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonCubrid  Xexclude from comparisonetcd  Xexclude from comparisonIBM Db2 Event Store  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.
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 storeDistributed Event Store optimized for Internet of Things use casesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeEvent Store
Time Series DBMS
Relational DBMS
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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
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.ibm.com/­products/­db2-event-storeazure.microsoft.com/­services/­synapse-analytics
Technical documentationcubrid.org/­manualsetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2-event-storedocs.microsoft.com/­azure/­synapse-analytics
DeveloperAtos Convergence CreatorsCUBRID Corporation, CUBRID FoundationIBMMicrosoft
Initial release2016200820172016
Current release170311.0, January 20213.4, August 20192.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree developer edition availablecommercial
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 and C++C++
Server operating systemsLinuxLinux
Windows
FreeBSD
Linux
Windows infoexperimental
Linux infoLinux, macOS, Windows for the developer additionhosted
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesyes
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.yesnononono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoyesnoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
OLE DB
gRPC
JSON over HTTP
ADO.NET
DB2 Connect
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#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresnoJava Stored ProceduresnoyesTransact SQL
Triggersyesyesyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding, 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.Active-active shard 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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono 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 operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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-standardnofine grained access rights according to SQL-standardyes

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More resources
Atos Standard Common RepositoryCubridetcdIBM Db2 Event StoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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