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DBMS > Google Cloud Datastore vs. LokiJS vs. Microsoft Azure SQL Database vs. PostGIS vs. RDF4J

System Properties Comparison Google Cloud Datastore vs. LokiJS vs. Microsoft Azure SQL Database vs. PostGIS vs. RDF4J

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPostGIS  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformIn-memory JavaScript DBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerSpatial extension of PostgreSQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument storeDocument storeRelational DBMSSpatial DBMSRDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.43
Rank#264  Overall
#42  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitecloud.google.com/­datastoregithub.com/­techfort/­LokiJSazure.microsoft.com/­en-us/­products/­azure-sql/­databasepostgis.netrdf4j.org
Technical documentationcloud.google.com/­datastore/­docstechfort.github.io/­LokiJSdocs.microsoft.com/­en-us/­azure/­azure-sqlpostgis.net/­documentationrdf4j.org/­documentation
DeveloperGoogleMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20082014201020052004
Current releaseV123.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoGPL v2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++CJava
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyes, details herenoyesyesyes
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.nonoyesyes
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JavaScript APIADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresusing Google App EngineView functions in JavaScriptTransact SQLuser defined functionsyes
TriggersCallbacks using the Google Apps Engineyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnoneyes, with always 3 replicas availableyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a single collection possibleACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardyes infobased on PostgreSQLno

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More resources
Google Cloud DatastoreLokiJSMicrosoft Azure SQL Database infoformerly SQL AzurePostGISRDF4J infoformerly known as Sesame
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