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DBMS > Amazon SimpleDB vs. RDFox vs. Sqrrl vs. TimescaleDB vs. ToroDB

System Properties Comparison Amazon SimpleDB vs. RDFox vs. Sqrrl vs. TimescaleDB vs. ToroDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonRDFox  Xexclude from comparisonSqrrl  Xexclude from comparisonTimescaleDB  Xexclude from comparisonToroDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines 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 ScioreHigh performance knowledge graph and semantic reasoning engineAdaptable, secure NoSQL built on Apache AccumuloA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeGraph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSDocument store
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.oxfordsemantic.techsqrrl.comwww.timescale.comgithub.com/­torodb/­server
Technical documentationdocs.aws.amazon.com/­simpledbdocs.oxfordsemantic.techdocs.timescale.com
DeveloperAmazonOxford Semantic TechnologiesAmazon infooriginally Sqrrl Data, Inc.Timescale8Kdata
Initial release20072017201220172016
Current release6.0, Septermber 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCJava
Server operating systemshostedLinux
macOS
Windows
LinuxLinux
OS X
Windows
All OS with a Java 7 VM
Data schemeschema-freeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes infostring, integer, double, boolean, date, object_id
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.yesno
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomaking use of Hadoopyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file systemselectable replication factor infomaking use of HadoopSource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDAtomic updates per row, document, or graph entityACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Roles, resources, and access typesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Amazon SimpleDBRDFoxSqrrlTimescaleDBToroDB
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