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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonAxibase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  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 networksScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationDistributed Event Store optimized for Internet of Things use casesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Key-value store
Time Series DBMSEvent Store
Time Series DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryaxibase.com/­docs/­atsd/­financewww.ibm.com/­products/­db2-event-storesplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storesplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsAxibase CorporationIBMSplice MachineSTS Soft SC
Initial release20162013201720142011
Current release1703155852.03.1, March 20214.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++JavaC#
Server operating systemsLinuxLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyes infoshort, integer, long, float, double, decimal, stringyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesnonoyesno
SQL infoSupport of SQLnoSQL-like query languageyes infothrough the embedded Spark runtimeyesno
APIs and other access methodsLDAPJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languagesAll languages with LDAP bindingsGo
Java
PHP
Python
R
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyesyesyes infoJavano
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationActive-active shard replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesYes - 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.yesyesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
Atos Standard Common RepositoryAxibaseIBM Db2 Event StoreSplice MachineSTSdb
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