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DBMS > Amazon SimpleDB vs. Google Cloud Firestore vs. Stardog vs. TimescaleDB

System Properties Comparison Amazon SimpleDB vs. Google Cloud Firestore vs. Stardog vs. TimescaleDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonStardog  Xexclude from comparisonTimescaleDB  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 ScioreCloud 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.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeDocument storeGraph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score8.96
Rank#48  Overall
#8  Document stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websiteaws.amazon.com/­simpledbfirebase.google.com/­products/­firestorewww.stardog.comwww.timescale.com
Technical documentationdocs.aws.amazon.com/­simpledbfirebase.google.com/­docs/­firestoredocs.stardog.comdocs.timescale.com
DeveloperAmazonGoogleStardog-UnionTimescale
Initial release2007201720102017
Current release7.3.0, May 20202.13.0, November 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedhostedLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or datenoyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 possibleyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnonoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GraphQL 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
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsuser defined functions and aggregates, HTTP Server extensions in Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes, with Cloud Functionsyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication in HA-ClusterSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access 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 for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBGoogle Cloud FirestoreStardogTimescaleDB
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Recent citations in the news

New SimpleDB Goodies: Enhanced Select, Larger Result Sets, Mandatory HTTPS | Amazon Web Services
20 May 2009, AWS Blog

Hands-on Tutorial for Getting Started with Amazon SimpleDB
28 May 2010, Packt Hub

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed Product On AWS
12 November 2013, TechCrunch

Amazon SimpleDB Management in Eclipse | AWS News Blog
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