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DBMS > Amazon SimpleDB vs. EJDB vs. Google Cloud Firestore vs. Microsoft Azure Table Storage vs. Stardog

System Properties Comparison Amazon SimpleDB vs. EJDB vs. Google Cloud Firestore vs. Microsoft Azure Table Storage vs. Stardog

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonStardog  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 ScioreEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A Wide Column Store for rapid development using massive semi-structured datasetsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeDocument storeDocument storeWide column storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.27
Rank#297  Overall
#44  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­simpledbgithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­services/­storage/­tableswww.stardog.com
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­firestoredocs.stardog.com
DeveloperAmazonSoftmotionsGoogleMicrosoftStardog-Union
Initial release20072012201720122010
Current release7.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialcommercialcommercial 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 serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemshostedserver-lesshostedhostedLinux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyes infostring, integer, double, bool, date, object_idyesyesyes
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.nonono infoImport/export of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallynoyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonononoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIin-process shared libraryAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIGraphQL 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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyes, with Cloud Functionsnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoyesoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights based on private key authentication or shared access signaturesAccess rights for users and roles

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More resources
Amazon SimpleDBEJDBGoogle Cloud FirestoreMicrosoft Azure Table StorageStardog
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