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DBMS > Amazon Aurora vs. Atos Standard Common Repository vs. BigchainDB vs. InterSystems Caché vs. KeyDB

System Properties Comparison Amazon Aurora vs. Atos Standard Common Repository vs. BigchainDB vs. InterSystems Caché vs. KeyDB

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKeyDB  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.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHighly 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 protocols
Primary database modelRelational DBMSDocument store
Key-value store
Document storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Websiteaws.amazon.com/­rds/­auroraatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.intersystems.com/­products/­cachegithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlbigchaindb.readthedocs.io/­en/­latestdocs.intersystems.comdocs.keydb.dev
DeveloperAmazonAtos Convergence CreatorsInterSystemsEQ Alpha Technology Ltd.
Initial release20152016201619972019
Current release17032018.1.4, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3commercialOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaPythonC++
Server operating systemshostedLinuxLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesoptionalnoyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.yesyesnoyesno
Secondary indexesyesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsADO.NET
JDBC
ODBC
LDAPCLI Client
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All 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
Server-side scripts infoStored proceduresyesnoyesLua
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infocell divisionShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationyesAccess rights for users, groups and rolessimple password-based access control and ACL

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More resources
Amazon AuroraAtos Standard Common RepositoryBigchainDBInterSystems CachéKeyDB
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