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DBMS > EJDB vs. Fauna vs. Microsoft Azure AI Search vs. RDFox vs. TerarkDB

System Properties Comparison EJDB vs. Fauna vs. Microsoft Azure AI Search vs. RDFox vs. TerarkDB

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDFox  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Fauna 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.Search-as-a-service for web and mobile app developmentHigh performance knowledge graph and semantic reasoning engineA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Search engineGraph DBMS
RDF store
Key-value store
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­Softmotions/­ejdbfauna.comazure.microsoft.com/­en-us/­services/­searchwww.oxfordsemantic.techgithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.fauna.comlearn.microsoft.com/­en-us/­azure/­searchdocs.oxfordsemantic.techbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSoftmotionsFauna, Inc.MicrosoftOxford Semantic TechnologiesByteDance, originally Terark
Initial release20122014201520172016
Current releaseV16.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCScalaC++C++
Server operating systemsserver-lesshostedhostedLinux
macOS
Windows
Data schemeschema-freeschema-freeyesyes infoRDF schemasschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idnoyesyesno
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 indexesnoyesyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsin-process shared libraryRESTful HTTP APIRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
C++ API
Java API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
Java
JavaScript
Python
C
Java
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infoImplicit feature of the cloud servicereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoIdentity management, authentication, and access controlyes infousing Azure authenticationRoles, resources, and access typesno

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More resources
EJDBFauna infopreviously named FaunaDBMicrosoft Azure AI SearchRDFoxTerarkDB
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