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DBMS > Amazon SimpleDB vs. FatDB vs. Hive vs. Stardog

System Properties Comparison Amazon SimpleDB vs. FatDB vs. Hive vs. Stardog

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFatDB  Xexclude from comparisonHive  Xexclude from comparisonStardog  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA .NET NoSQL DBMS that can integrate with and extend SQL Server.data warehouse software for querying and managing large distributed datasets, built on HadoopEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeDocument store
Key-value store
Relational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­simpledbhive.apache.orgwww.stardog.com
Technical documentationdocs.aws.amazon.com/­simpledbcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.stardog.com
DeveloperAmazonFatCloudApache Software Foundation infoinitially developed by FacebookStardog-Union
Initial release2007201220122010
Current release3.1.3, April 20227.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaJava
Server operating systemshostedWindowsAll OS with a Java VMLinux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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.no infoImport/export of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnono infoVia inetgration in SQL ServerSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
Thrift
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#C++
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infovia applicationsyes infouser defined functions and integration of map-reduceuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infovia applicationsnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factorMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoACID
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
Amazon SimpleDBFatDBHiveStardog
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