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DBMS > Atos Standard Common Repository vs. IBM Db2 Event Store vs. MaxDB vs. Splice Machine

System Properties Comparison Atos Standard Common Repository vs. IBM Db2 Event Store vs. MaxDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSplice Machine  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 casesA robust and reliable RDBMS optimized to run all major SAP solutionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Event Store
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­db2-event-storemaxdb.sap.comsplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storemaxdb.sap.com/­documentationsplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsIBMSAP, acquired from Software AG (Adabas-D) in 1997Splice Machine
Initial release2016201719842014
Current release17032.07.9.10.12, February 20243.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial infoLimited community edition freeOpen Source infoAGPL 3.0, commercial license available
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++Java
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyes
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.yesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyesyes
APIs and other access methodsLDAPADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
Native Spark Datasource
ODBC
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#
Java
Perl
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesyes infoJava
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes, multi-version concurrency control (MVCC)
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryIBM Db2 Event StoreMaxDB infoformerly named Adabas-DSplice Machine
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