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DBMS > HugeGraph vs. Microsoft Azure AI Search vs. PostGIS vs. Sphinx vs. TDSQL for MySQL

System Properties Comparison HugeGraph vs. Microsoft Azure AI Search vs. PostGIS vs. Sphinx vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostGIS  Xexclude from comparisonSphinx  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSSearch-as-a-service for web and mobile app developmentSpatial extension of PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelGraph DBMSSearch engineSpatial DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMSRelational DBMSDocument store
Spatial 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
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­searchpostgis.netsphinxsearch.comwww.tencentcloud.com/­products/­dcdb
Technical documentationhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchpostgis.net/­documentationsphinxsearch.com/­docswww.tencentcloud.com/­document/­product/­1042
DeveloperBaiduMicrosoftSphinx Technologies Inc.Tencent
Initial release20182015200520012013
Current release0.9V13.4.2, February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL v2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinux
macOS
Unix
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonoyesno
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIProprietary protocolJDBC
ODBC
Supported programming languagesGroovy
Java
Python
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnouser defined functionsnoyes
Triggersnonoyesnoyes
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 serviceyes infobased on PostgreSQLSharding infoPartitioning is done manually, search queries against distributed index is supportedAutomatic sharding
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 serviceyes infobased on PostgreSQLnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
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.yesnonono
User concepts infoAccess controlUsers, roles and permissionsyes infousing Azure authenticationyes infobased on PostgreSQLnoUsers with fine-grained authorization concept

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More resources
HugeGraphMicrosoft Azure AI SearchPostGISSphinxTDSQL for MySQL
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