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DBMS > HugeGraph vs. Linter vs. Microsoft Azure AI Search vs. PieCloudDB vs. Sphinx

System Properties Comparison HugeGraph vs. Linter vs. Microsoft Azure AI Search vs. PieCloudDB vs. Sphinx

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPieCloudDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSRDBMS for high security requirementsSearch-as-a-service for web and mobile app developmentA cloud-native analytic database platform with new technologoy for elastic MPPOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMSRelational DBMSSearch engineRelational DBMSSearch engine
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.25
Rank#304  Overall
#138  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
linter.ruazure.microsoft.com/­en-us/­services/­searchwww.openpie.comsphinxsearch.com
Technical documentationhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperBaidurelex.ruMicrosoftOpenPieSphinx Technologies Inc.
Initial release2018199020152001
Current release0.9V12.1, January 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemsLinux
macOS
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyes infoalso supports composite index and range indexyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoyesSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APICLI Client
JDBC
ODBC
Proprietary protocol
Supported programming languagesGroovy
Java
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
JavaScript
Python
Java
PL/SQL
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoproprietary syntax with the possibility to convert from PL/SQLnouser defined functionsno
Triggersnoyesnonono
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 serviceyesSharding 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 serviceyesnone
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 graphyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardyes infousing Azure authenticationUser Roles and pluggable authentication with full SQL Standardno
More information provided by the system vendor
HugeGraphLinterMicrosoft Azure AI SearchPieCloudDBSphinx
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
HugeGraphLinterMicrosoft Azure AI SearchPieCloudDBSphinx
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