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DBMS > AgensGraph vs. BaseX vs. GridDB vs. Sphinx

System Properties Comparison AgensGraph vs. BaseX vs. GridDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBaseX  Xexclude from comparisonGridDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable in-memory time series database optimized for IoT and Big DataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
Relational DBMS
Native XML DBMSTime Series DBMSSearch engine
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score2.02
Rank#132  Overall
#11  Time Series DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitebitnine.net/­agensgraphbasex.orggriddb.netsphinxsearch.com
Technical documentationbitnine.net/­documentationdocs.basex.orgdocs.griddb.netsphinxsearch.com/­docs
DeveloperBitnine Global Inc.BaseX GmbHToshiba CorporationSphinx Technologies Inc.
Initial release2016200720132001
Current release2.1, December 201810.7, August 20235.1, August 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD licenseOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyes infonumerical, string, blob, geometry, boolean, timestampno
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
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query language (SphinxQL)
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesC
Java
JavaScript
Python
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesyesnono
Triggersnoyes infovia eventsyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACID at container levelno
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.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per databaseno
More information provided by the system vendor
AgensGraphBaseXGridDBSphinx
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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AgensGraphBaseXGridDBSphinx
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