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DBMS > Amazon SimpleDB vs. Databricks vs. RDFox

System Properties Comparison Amazon SimpleDB vs. Databricks vs. RDFox

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabricks  Xexclude from comparisonRDFox  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 ScioreThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High performance knowledge graph and semantic reasoning engine
Primary database modelKey-value storeDocument store
Relational DBMS
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteaws.amazon.com/­simpledbwww.databricks.comwww.oxfordsemantic.tech
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databricks.comdocs.oxfordsemantic.tech
DeveloperAmazonDatabricksOxford Semantic Technologies
Initial release200720132017
Current release6.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhostedLinux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemas
Typing infopredefined data types such as float or datenoyes
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.yes
Secondary indexesyes infoAll columns are indexed automaticallyyes
SQL infoSupport of SQLnowith Databricks SQLno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Python
R
Scala
C
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the application
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Roles, resources, and access types
More information provided by the system vendor
Amazon SimpleDBDatabricksRDFox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon SimpleDBDatabricksRDFox
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