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DBMS > EDB Postgres vs. HugeGraph vs. Microsoft Azure AI Search vs. searchxml vs. Sphinx

System Properties Comparison EDB Postgres vs. HugeGraph vs. Microsoft Azure AI Search vs. searchxml vs. Sphinx

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonsearchxml  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A fast-speed and highly-scalable Graph DBMSSearch-as-a-service for web and mobile app developmentDBMS for structured and unstructured content wrapped with an application serverOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSGraph DBMSSearch engineNative XML DBMS
Search engine
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.enterprisedb.comgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­searchwww.searchxml.net/­category/­productssphinxsearch.com
Technical documentationwww.enterprisedb.com/­docshugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchwww.searchxml.net/­support/­handoutssphinxsearch.com/­docs
DeveloperEnterpriseDBBaiduMicrosoftinformationpartners gmbhSphinx Technologies Inc.
Initial release20052018201520152001
Current release14, December 20210.9V11.03.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++C++
Server operating systemsLinux
Windows
Linux
macOS
Unix
hostedWindowsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
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.yes infospecific XML-type available, but no XML query functionality.nonoyes
Secondary indexesyesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infostandard with numerous extensionsnononoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Groovy
Java
Python
C#
Java
JavaScript
Python
C++ infomost other programming languages supported via APIsC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.asynchronous Gremlin script jobsnoyes infoon the application serverno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud servicenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoImplicit feature of the cloud serviceyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsyes infousing Azure authenticationDomain, group and role-based access control at the document level and for application servicesno

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More resources
EDB PostgresHugeGraphMicrosoft Azure AI SearchsearchxmlSphinx
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