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

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

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonRDFox  Xexclude from comparisonSqrrl  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 ScioreScalable, distributed, serverless MySQL database platform built on top of VitessHigh performance knowledge graph and semantic reasoning engineAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value storeRelational DBMSGraph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­simpledbplanetscale.comwww.oxfordsemantic.techsqrrl.comgithub.com/­torodb/­server
Technical documentationdocs.aws.amazon.com/­simpledbplanetscale.com/­docsdocs.oxfordsemantic.tech
DeveloperAmazonPlanetScaleOxford Semantic TechnologiesAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release20072020201720122016
Current release6.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaJava
Server operating systemshostedDocker
Linux
macOS
Linux
macOS
Windows
LinuxAll OS with a Java 7 VM
Data schemeschema-freeyesyes infoRDF schemasschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes 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.no
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP API
SPARQL 1.1
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
replication via a shared file systemselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency across shards
Immediate Consistency within a shard
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.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACID at shard levelACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesRoles, resources, and access typesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles

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More resources
Amazon SimpleDBPlanetScaleRDFoxSqrrlToroDB
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