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DBMS > Amazon SimpleDB vs. GeoSpock vs. Stardog vs. Vitess

System Properties Comparison Amazon SimpleDB vs. GeoSpock vs. Stardog vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonStardog  Xexclude from comparisonVitess  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be 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 ScioreSpatial and temporal data processing engine for extreme data scaleEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­simpledbgeospock.comwww.stardog.comvitess.io
Technical documentationdocs.aws.amazon.com/­simpledbdocs.stardog.comvitess.io/­docs
DeveloperAmazonGeoSpockStardog-UnionThe Linux Foundation, PlanetScale
Initial release200720102013
Current release2.0, September 20197.3.0, May 202015.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaGo
Server operating systemshostedhostedLinux
macOS
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportyes
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.nono infoImport/export of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallytemporal, categoricalyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)Yes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJDBCGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javayes infoproprietary syntax
Triggersnonoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency in HA-ClusterEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per tableAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon SimpleDBGeoSpockStardogVitess
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