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DBMS > Atos Standard Common Repository vs. Graph Engine vs. Hazelcast vs. HBase

System Properties Comparison Atos Standard Common Repository vs. Graph Engine vs. Hazelcast vs. HBase

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparisonHBase  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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Key-value store
Graph DBMS
Key-value store
Key-value storeWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score6.87
Rank#55  Overall
#6  Key-value stores
Score31.25
Rank#26  Overall
#2  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.graphengine.iohazelcast.comhbase.apache.org
Technical documentationwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docshbase.apache.org/­book.html
DeveloperAtos Convergence CreatorsMicrosoftHazelcastApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2016201020082008
Current release17035.3.6, November 20232.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJavaJava
Server operating systemsLinux.NETAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateoptionalyesyesoptions to bring your own types, AVRO
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesno
SQL infoSupport of SQLnonoSQL-like query languageno
APIs and other access methodsLDAPRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesAll languages with LDAP bindingsC#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Java
Triggersyesnoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes
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 AlgorithmImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoone or two-phase-commit; repeatable reads; read commitedSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Atos Standard Common RepositoryGraph Engine infoformer name: TrinityHazelcastHBase
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