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DBMS > Atos Standard Common Repository vs. BigchainDB vs. InterSystems Caché vs. KeyDB vs. Oracle Coherence

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. InterSystems Caché vs. KeyDB vs. Oracle Coherence

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKeyDB  Xexclude from comparisonOracle Coherence  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA multi-model DBMS and application serverAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOracles in-memory data grid solution
Primary database modelDocument store
Key-value store
Document storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.intersystems.com/­products/­cachegithub.com/­Snapchat/­KeyDB
keydb.dev
www.oracle.com/­java/­coherence
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.intersystems.comdocs.keydb.devdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperAtos Convergence CreatorsInterSystemsEQ Alpha Technology Ltd.Oracle
Initial release20162016199720192007
Current release17032018.1.4, May 202014.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC++Java
Server operating systemsLinuxLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java VM
Data schemeSchema and schema-less with LDAP viewsschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalnoyespartial 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.yesnoyesnono
Secondary indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJCache
JPA
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
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++
Java
Server-side scripts infoStored proceduresnoyesLuano
Triggersyesyesnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
yes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDOptimistic locking, atomic execution of commands blocks and scriptsconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infooptionally
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 authenticationyesAccess rights for users, groups and rolessimple password-based access control and ACLauthentification to access the cache via certificates or http basic authentication

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More resources
Atos Standard Common RepositoryBigchainDBInterSystems CachéKeyDBOracle Coherence
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