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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIgnite  Xexclude from comparisonSpaceTime  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 casesApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.SpaceTime is a spatio-temporal DBMS with a focus on performance.Open-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
Key-value store
Relational DBMS
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­db2-event-storeignite.apache.orgwww.mireo.com/­spacetimesplicemachine.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storeapacheignite.readme.io/­docssplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsIBMApache Software FoundationMireoSplice Machine
Initial release20162017201520202014
Current release17032.0Apache Ignite 2.63.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, 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 languageJavaC and C++C++, Java, .NetC++Java
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implementedyes
APIs and other access methodsLDAPADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
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
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)noyes infoJava
Triggersyesnoyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingFixed-grid hypercubesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive-active shard replicationyes (replicated cache)Real-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes, 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 storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsyesAccess rights for users, groups and roles according to SQL-standard

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More resources
Atos Standard Common RepositoryIBM Db2 Event StoreIgniteSpaceTimeSplice Machine
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