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DBMS > Atos Standard Common Repository vs. EsgynDB vs. Greenplum vs. Hazelcast

System Properties Comparison Atos Standard Common Repository vs. EsgynDB vs. Greenplum vs. Hazelcast

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  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 networksEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely adopted in-memory data grid
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Document store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.esgyn.cngreenplum.orghazelcast.com
Technical documentationdocs.greenplum.orghazelcast.org/­imdg/­docs
DeveloperAtos Convergence CreatorsEsgynPivotal Software Inc.Hazelcast
Initial release2016201520052008
Current release17037.0.0, September 20235.3.6, November 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJava
Server operating systemsLinuxLinuxLinuxAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 infosince Version 4.2yes infothe object must implement a serialization strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesyes infoEvent Listeners, Executor Services
Triggersyesnoyesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersSource-replica replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control

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More resources
Atos Standard Common RepositoryEsgynDBGreenplumHazelcast
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