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DBMS > Fauna vs. Hive vs. IRONdb vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison Fauna vs. Hive vs. IRONdb vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.data warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J 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
Relational DBMSTime Series DBMSWide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.63
Rank#155  Overall
#28  Document stores
#14  Graph DBMS
#70  Relational DBMS
#13  Time Series DBMS
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score5.35
Rank#71  Overall
#6  Wide column stores
Score0.72
Rank#234  Overall
#9  RDF stores
Websitefauna.comhive.apache.orgwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationdocs.fauna.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperFauna, Inc.Apache Software Foundation infoinitially developed by FacebookCirconus LLC.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20142012201720122004
Current release3.1.3, April 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC and C++Java
Server operating systemshostedAll OS with a Java VMLinuxhostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyes infotext, numeric, histogramsyesyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
HTTP APIRESTful HTTP APIJava 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
C++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyes, in Luanoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorconfigurable replication factor, datacenter awareyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonono
User concepts infoAccess controlIdentity management, authentication, and access controlAccess rights for users, groups and rolesnoAccess rights based on private key authentication or shared access signaturesno

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More resources
Fauna infopreviously named FaunaDBHiveIRONdbMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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