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DBMS > EsgynDB vs. FeatureBase vs. Microsoft Azure AI Search vs. RDFox

System Properties Comparison EsgynDB vs. FeatureBase vs. Microsoft Azure AI Search vs. RDFox

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Search-as-a-service for web and mobile app developmentHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.esgyn.cnwww.featurebase.comazure.microsoft.com/­en-us/­services/­searchwww.oxfordsemantic.tech
Technical documentationdocs.featurebase.comlearn.microsoft.com/­en-us/­azure/­searchdocs.oxfordsemantic.tech
DeveloperEsgynMolecula and Pilosa Open Source ContributorsMicrosoftOxford Semantic Technologies
Initial release2015201720152017
Current release2022, May 2022V16.0, Septermber 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGoC++
Server operating systemsLinuxLinux
macOS
hostedLinux
macOS
Windows
Data schemeyesyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyesSQL queriesnono
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
Python
C#
Java
JavaScript
Python
C
Java
Server-side scripts infoStored proceduresJava Stored Proceduresno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyes infoImplicit feature of the cloud servicereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
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 integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationRoles, resources, and access types

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More resources
EsgynDBFeatureBaseMicrosoft Azure AI SearchRDFox
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