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DBMS > HugeGraph vs. JaguarDB vs. Machbase Neo vs. Sphinx vs. Valentina Server

System Properties Comparison HugeGraph vs. JaguarDB vs. Machbase Neo vs. Sphinx vs. Valentina Server

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonJaguarDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSphinx  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSPerformant, highly scalable DBMS for AI and IoT applicationsTimeSeries DBMS for AIoT and BigDataOpen source search engine for searching in data from different sources, e.g. relational databasesObject-relational database and reports server
Primary database modelGraph DBMSKey-value store
Vector DBMS
Time Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.jaguardb.commachbase.comsphinxsearch.comwww.valentina-db.net
Technical documentationhugegraph.apache.org/­docswww.jaguardb.com/­support.htmlmachbase.com/­dbmssphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperBaiduDataJaguar, Inc.MachbaseSphinx Technologies Inc.Paradigma Software
Initial release20182015201320011999
Current release0.93.3 July 2023V8.0, August 20233.5.1, February 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0commercial infofree test version availableOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesCC++
Server operating systemsLinux
macOS
Unix
LinuxLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
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.nonono
Secondary indexesyes infoalso supports composite index and range indexyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Proprietary protocolODBC
Supported programming languagesGroovy
Java
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingSharding 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 HBaseMulti-source replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes 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.yesnoyes infovolatile and lookup tableyes
User concepts infoAccess controlUsers, roles and permissionsrights management via user accountssimple password-based access controlnofine grained access rights according to SQL-standard

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More resources
HugeGraphJaguarDBMachbase Neo infoFormer name was InfinifluxSphinxValentina Server
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