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DBMS > HugeGraph vs. IBM Db2 warehouse vs. Microsoft Azure AI Search vs. Oracle Rdb vs. Sphinx

System Properties Comparison HugeGraph vs. IBM Db2 warehouse vs. Microsoft Azure AI Search vs. Oracle Rdb vs. Sphinx

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSCloud-based data warehousing serviceSearch-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 DBMSRelational DBMSSearch engineRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­rdb.htmlsphinxsearch.com
Technical documentationhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsphinxsearch.com/­docs
DeveloperBaiduIBMMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Sphinx Technologies Inc.
Initial release20182014201519842001
Current release0.9V17.4.1.1, 20213.5.1, 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 servicenoyesyesnono
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
hostedhostedHP Open VMSFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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.nono infoImport/export of XML data possiblenono
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
.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP APIProprietary protocol
Supported programming languagesGroovy
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
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 jobsPL/SQL, SQL PLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding 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 HBaseyesyes infoImplicit feature of the cloud servicenone
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 graphyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes, on a single nodeno
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.yesyesnono
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardyes infousing Azure authenticationno

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More resources
HugeGraphIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure AI SearchOracle RdbSphinx
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