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DBMS > EXASOL vs. Fauna vs. Lovefield vs. Microsoft Azure AI Search vs. RDFox

System Properties Comparison EXASOL vs. Fauna vs. Lovefield vs. Microsoft Azure AI Search vs. RDFox

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.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.Embeddable 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 modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
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
Websitewww.exasol.comfauna.comgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchwww.oxfordsemantic.tech
Technical documentationwww.exasol.com/­resourcesdocs.fauna.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchdocs.oxfordsemantic.tech
DeveloperExasolFauna, Inc.GoogleMicrosoftOxford Semantic Technologies
Initial release20002014201420152017
Current release2.1.12, February 2017V16.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaJavaScriptC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
macOS
Windows
Data schemeyesschema-freeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternnono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesJava
Lua
Python
R
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
JavaScriptC#
Java
JavaScript
Python
C
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
TriggersyesnoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes infoImplicit feature of the cloud servicereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, 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.yesnoyes infousing MemoryDBnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardIdentity management, authentication, and access controlnoyes infousing Azure authenticationRoles, resources, and access types

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More resources
EXASOLFauna infopreviously named FaunaDBLovefieldMicrosoft Azure AI SearchRDFox
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