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

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

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSphinx  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 inferenceOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS for IoT Applications
Primary database modelGraph DBMSSearch engineTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­searchopenmldb.aisphinxsearch.comyanza.com
Technical documentationhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchopenmldb.ai/­docs/­zh/­mainsphinxsearch.com/­docs
DeveloperBaiduMicrosoft4 Paradigm Inc.Sphinx Technologies Inc.Yanza
Initial release20182015202020012015
Current release0.9V12024-2 February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono 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, ScalaC++
Server operating systemsLinux
macOS
Unix
hostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 indexyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIJDBC
SQLAlchemy
Proprietary protocolHTTP API
Supported programming languagesGroovy
Java
Python
C#
Java
JavaScript
Python
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
any language that supports HTTP calls
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononono
Triggersnonononoyes 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 partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
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 replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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-standardnono

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More resources
HugeGraphMicrosoft Azure AI SearchOpenMLDBSphinxYanza
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