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DBMS > HugeGraph vs. Microsoft Azure AI Search vs. OpenMLDB vs. Yanza

System Properties Comparison HugeGraph vs. Microsoft Azure AI Search vs. OpenMLDB vs. Yanza

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSSearch-as-a-service for web and mobile app developmentAn open-source machine learning database that provides a feature platform for training and inferenceTime Series DBMS for IoT Applications
Primary database modelGraph DBMSSearch engineTime Series DBMSTime Series DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­searchopenmldb.aiyanza.com
Technical documentationhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­main
DeveloperBaiduMicrosoft4 Paradigm Inc.Yanza
Initial release2018201520202015
Current release0.9V12024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Sourcecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, Scala
Server operating systemsLinux
macOS
Unix
hostedLinuxWindows
Data schemeyesyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIJDBC
SQLAlchemy
HTTP API
Supported programming languagesGroovy
Java
Python
C#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud servicehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
HugeGraphMicrosoft Azure AI SearchOpenMLDBYanza
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