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DBMS > Amazon SimpleDB vs. BigchainDB vs. RDFox vs. Realm vs. Splice Machine

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. RDFox vs. Realm vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonRDFox  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh performance knowledge graph and semantic reasoning engineA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeDocument storeGraph DBMS
RDF store
Document storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score7.41
Rank#52  Overall
#8  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.oxfordsemantic.techrealm.iosplicemachine.com
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.oxfordsemantic.techrealm.io/­docssplicemachine.com/­how-it-works
DeveloperAmazonOxford Semantic TechnologiesRealm, acquired by MongoDB in May 2019Splice Machine
Initial release20072016201720142014
Current release6.0, Septermber 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
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 languagePythonC++Java
Server operating systemshostedLinuxLinux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessaryyes infoJava
Triggersnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorreplication via a shared file systemnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesRoles, resources, and access typesyesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon SimpleDBBigchainDBRDFoxRealmSplice Machine
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