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DBMS > HugeGraph vs. Microsoft Azure AI Search vs. Sphinx vs. Transwarp KunDB vs. YottaDB

System Properties Comparison HugeGraph vs. Microsoft Azure AI Search vs. Sphinx vs. Transwarp KunDB vs. YottaDB

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesOLTP DBMS based on a distributed architecture and highly compatible with MySQL and OracleA fast and solid embedded Key-value store
Primary database modelGraph DBMSSearch engineSearch engineRelational DBMSKey-value store
Secondary database modelsVector DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Score0.14
Rank#341  Overall
#149  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwww.transwarp.cn/­en/­product/­kundbyottadb.com
Technical documentationhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsyottadb.com/­resources/­documentation
DeveloperBaiduMicrosoftSphinx Technologies Inc.TranswarpYottaDB, LLC
Initial release2018201520012001
Current release0.9V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsLinux
macOS
Unix
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Docker
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yesby using the Octo plugin
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIProprietary protocolPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
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
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonoyes
Triggersnononoyes
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 serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
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 servicenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsyes infousing Azure authenticationnoyesUsers and groups based on OS-security mechanisms

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More resources
HugeGraphMicrosoft Azure AI SearchSphinxTranswarp KunDBYottaDB
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