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DBMS > HugeGraph vs. Microsoft Azure AI Search vs. Oracle NoSQL vs. Sphinx vs. SQL.JS

System Properties Comparison HugeGraph vs. Microsoft Azure AI Search vs. Oracle NoSQL vs. Sphinx vs. SQL.JS

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSSearch-as-a-service for web and mobile app developmentA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelGraph DBMSSearch engineDocument store
Key-value store
Relational DBMS
Search engineRelational DBMS
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
Score5.59
Rank#63  Overall
#7  Search engines
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­nosql/­technologies/­nosqlsphinxsearch.comsql.js.org
Technical documentationhugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperBaiduMicrosoftOracleSphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release20182015201120012012
Current release0.9V123.3, December 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL version 2, commercial licence availableOpen Source
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 languageJavaJavaC++JavaScript
Server operating systemsLinux
macOS
Unix
hostedLinux
Solaris SPARC/x86
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or dateyesyesoptionalnoyes
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.nononono
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIRESTful HTTP APIProprietary protocolJavaScript API
Supported programming languagesGroovy
Java
Python
C#
Java
JavaScript
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononono
Triggersnonononono
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 serviceShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
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 serviceElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
none
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable infoACID within a storage node (=shard)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infooff heap cacheyes
User concepts infoAccess controlUsers, roles and permissionsyes infousing Azure authenticationAccess rights for users and rolesnono

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More resources
HugeGraphMicrosoft Azure AI SearchOracle NoSQLSphinxSQL.JS
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