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DBMS > FaunaDB vs. Microsoft Azure Cosmos DB vs. RDF4J

System Properties Comparison FaunaDB vs. Microsoft Azure Cosmos DB vs. RDF4J

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Editorial information provided by DB-Engines
NameFaunaDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionStrongly consistent database capable of global horizontal scale with a focus on operational simplicityGlobally distributed, horizontally scalable, multi-model database serviceRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Wide column store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#232  Overall
#30  Document stores
#18  Graph DBMS
#110  Relational DBMS
#13  Time Series DBMS
Score29.08
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.37
Rank#223  Overall
#10  RDF stores
Websitefauna.comazure.microsoft.com/­services/­cosmos-dbrdf4j.org
Technical documentationfauna.com/­documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.rdf4j.org
DeveloperFauna, Inc.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201420142004
License infoCommercial or Open SourcecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemsLinuxhostedLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyes infoJSON typesyes
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.no
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table 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
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsJavaScriptyes
TriggersnoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMasterlessyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights can be defined down to the item levelno
More information provided by the system vendor
FaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRDF4J infoformerly known as Sesame
Specific characteristicsA flexible document-relational query language High performance single-phase ACID...
» more
Azure Cosmos DB is Microsoft™s globally-distributed, horizontally scalable, multi-model...
» more
Competitive advantages​Document-relational interface: combines flexibility in modeling with flexibility...
» more
Global distribution Easily build globally-distributed applications without the hassle...
» more
Typical application scenariosDistributed ledger Identity management Multi-tenant SaaS backend Social content feeds...
» more
Azure Cosmos DB enables writing globally distributed applications and allows you...
» more
Key customersJet.com, Asos, Real Madrid, Orange Tribes, MSN, Telenor, NextGames, Schneider Electric,...
» more
Market metricsGartner Research positions Microsoft as the leader in the Magic Quadrant Operational...
» more
Licensing and pricing modelsWith Azure Cosmos DB, pay only for the storage you use and the throughput you provision...
» more

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More resources
FaunaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRDF4J infoformerly known as Sesame
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