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DBMS > Google Cloud Datastore vs. Lovefield vs. Microsoft Azure AI Search vs. RDFox

System Properties Comparison Google Cloud Datastore vs. Lovefield vs. Microsoft Azure AI Search vs. RDFox

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeRelational DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitecloud.google.com/­datastoregoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchwww.oxfordsemantic.tech
Technical documentationcloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchdocs.oxfordsemantic.tech
DeveloperGoogleGoogleMicrosoftOxford Semantic Technologies
Initial release2008201420152017
Current release2.1.12, February 2017V16.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
macOS
Windows
Data schemeschema-freeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptC#
Java
JavaScript
Python
C
Java
Server-side scripts infoStored proceduresusing Google App Enginenono
TriggersCallbacks using the Google Apps EngineUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnoneyes infoImplicit feature of the cloud servicereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
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.Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes infousing Azure authenticationRoles, resources, and access types

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More resources
Google Cloud DatastoreLovefieldMicrosoft Azure AI SearchRDFox
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