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DBMS > Atos Standard Common Repository vs. IBM Db2 Event Store vs. Kingbase vs. Newts

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 Event Store vs. Kingbase vs. Newts

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonKingbase  Xexclude from comparisonNewts  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 networksDistributed Event Store optimized for Internet of Things use casesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Time Series DBMS based on Cassandra
Primary database modelDocument store
Key-value store
Event Store
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#316  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.45
Rank#265  Overall
#124  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­db2-event-storewww.kingbase.com.cnopennms.github.io/­newts
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­OpenNMS/­newts/­wiki
DeveloperAtos Convergence CreatorsIBMBeiJing KINGBASE Information technologies inc.OpenNMS Group
Initial release2016201719992014
Current release17032.0V8.0, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C and JavaJava
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesnoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeStandard with numerous extensionsno
APIs and other access methodsLDAPADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
HTTP REST
Java API
Supported programming languagesAll languages with LDAP bindingsC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationyesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Atos Standard Common RepositoryIBM Db2 Event StoreKingbaseNewts
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