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DBMS > Fauna vs. Google Cloud Datastore vs. RDF4J vs. Realm vs. SwayDB

System Properties Comparison Fauna vs. Google Cloud Datastore vs. RDF4J vs. Realm vs. SwayDB

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRealm  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document storeRDF storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#143  Overall
#26  Document stores
#13  Graph DBMS
#66  Relational DBMS
#13  Time Series DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score0.72
Rank#222  Overall
#9  RDF stores
Score7.18
Rank#52  Overall
#8  Document stores
Score0.00
Rank#384  Overall
#60  Key-value stores
Websitefauna.comcloud.google.com/­datastorerdf4j.orgrealm.ioswaydb.simer.au
Technical documentationdocs.fauna.comcloud.google.com/­datastore/­docsrdf4j.org/­documentationrealm.io/­docs
DeveloperFauna, Inc.GoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Realm, acquired by MongoDB in May 2019Simer Plaha
Initial release20142008200420142018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open SourceOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaScala
Server operating systemshostedhostedLinux
OS X
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or datenoyes, details hereyesyesno
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
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (GQL)nonono
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsusing Google App Engineyesno inforuns within the applications so server-side scripts are unnecessaryno
TriggersnoCallbacks using the Google Apps Engineyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication using Paxosnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoIsolation support depends on the API usedACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realmyes
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyesno

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More resources
Fauna infopreviously named FaunaDBGoogle Cloud DatastoreRDF4J infoformerly known as SesameRealmSwayDB
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