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DBMS > HugeGraph vs. InterSystems Caché vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison HugeGraph vs. InterSystems Caché vs. Microsoft Azure AI Search vs. Sphinx

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSA multi-model DBMS and application serverSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSKey-value store
Object oriented DBMS
Relational DBMS
Search engineSearch engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score6.03
Rank#60  Overall
#6  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationhugegraph.apache.org/­docsdocs.intersystems.comlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperBaiduInterSystemsMicrosoftSphinx Technologies Inc.
Initial release2018199720152001
Current release0.92018.1.4, May 2020V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
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 languageJavaC++
Server operating systemsLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesdepending on used data modelyesyes
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.noyesno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIProprietary protocol
Supported programming languagesGroovy
Java
Python
C#
C++
Java
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users, groups and rolesyes infousing Azure authenticationno

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More resources
HugeGraphInterSystems CachéMicrosoft Azure AI SearchSphinx
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