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DBMS > AgensGraph vs. Amazon SimpleDB vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics vs. Stardog

System Properties Comparison AgensGraph vs. Amazon SimpleDB vs. Google Cloud Firestore vs. Microsoft Azure Synapse Analytics vs. Stardog

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted 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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
Relational DBMS
Key-value storeDocument storeRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.85
Rank#138  Overall
#24  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitebitnine.net/­agensgraphaws.amazon.com/­simpledbfirebase.google.com/­products/­firestoreazure.microsoft.com/­services/­synapse-analyticswww.stardog.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­simpledbfirebase.google.com/­docs/­firestoredocs.microsoft.com/­azure/­synapse-analyticsdocs.stardog.com
DeveloperBitnine Global Inc.AmazonGoogleMicrosoftStardog-Union
Initial release20162007201720162010
Current release2.1, December 20187.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialcommercial 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 servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemsLinux
OS X
Windows
hostedhostedhostedLinux
macOS
Windows
Data schemedepending on used data modelschema-freeschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesyesyes infoAll columns are indexed automaticallyyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnonoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
PHP
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud FunctionsTransact SQLuser 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 nodesno, but can be realized using table inheritancenone infoSharding must be implemented in the applicationShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replicationyesMulti-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 systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlfine grained access rights according to SQL-standardAccess 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.yesAccess rights for users and roles

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More resources
AgensGraphAmazon SimpleDBGoogle Cloud FirestoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseStardog
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