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DBMS > Atos Standard Common Repository vs. Hazelcast vs. KeyDB vs. Kingbase

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. KeyDB vs. Kingbase

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHazelcast  Xexclude from comparisonKeyDB  Xexclude from comparisonKingbase  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 in-memory data gridAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelDocument store
Key-value store
Key-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhazelcast.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.kingbase.com.cn
Technical documentationhazelcast.org/­imdg/­docsdocs.keydb.dev
DeveloperAtos Convergence CreatorsHazelcastEQ Alpha Technology Ltd.BeiJing KINGBASE Information technologies inc.
Initial release2016200820191999
Current release17035.3.6, November 2023V8.0, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSD-3commercial
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++C and Java
Server operating systemsLinuxAll OS with a Java VMLinuxLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 strategynoyes
Secondary indexesyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLnoSQL-like query languagenoStandard with numerous extensions
APIs and other access methodsLDAPJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesAll languages with LDAP bindings.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesLuauser defined functions
Triggersyesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitedOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlsimple password-based access control and ACLfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHazelcastKeyDBKingbase
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