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DBMS > Atos Standard Common Repository vs. Hazelcast vs. ToroDB

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. ToroDB

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHazelcast  Xexclude from comparisonToroDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted in-memory data gridA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhazelcast.comgithub.com/­torodb/­server
Technical documentationhazelcast.org/­imdg/­docs
DeveloperAtos Convergence CreatorsHazelcast8Kdata
Initial release201620082016
Current release17035.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsLinuxAll OS with a Java VMAll OS with a Java 7 VM
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyes infostring, integer, double, boolean, date, object_id
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.yesyes infothe object must implement a serialization strategyno
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsLDAPJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindings.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Services
Triggersyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlAccess rights for users and roles

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More resources
Atos Standard Common RepositoryHazelcastToroDB
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