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DBMS > Atos Standard Common Repository vs. Ehcache vs. Ignite vs. Tkrzw

System Properties Comparison Atos Standard Common Repository vs. Ehcache vs. Ignite vs. Tkrzw

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisonIgnite  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 networksA widely adopted Java cache with tiered storage optionsApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Key-value store
Key-value storeKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgignite.apache.orgdbmx.net/­tkrzw
Technical documentationwww.ehcache.org/­documentationapacheignite.readme.io/­docs
DeveloperAtos Convergence CreatorsTerracotta Inc, owned by Software AGApache Software FoundationMikio Hirabayashi
Initial release2016200920152020
Current release17033.10.0, March 2022Apache Ignite 2.60.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 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 languageJavaJavaC++, Java, .NetC++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeSchema and schema-less with LDAP viewsschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesno
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 indexesyesnoyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsLDAPJCacheHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAll languages with LDAP bindingsJavaC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes infoCache Event Listenersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta Serveryes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing specific database classes
User concepts infoAccess controlLDAP bind authenticationnoSecurity Hooks for custom implementationsno

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Atos Standard Common RepositoryEhcacheIgniteTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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