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DBMS > AgensGraph vs. Apache Druid vs. BaseX vs. GeoSpock vs. SpatiaLite

System Properties Comparison AgensGraph vs. Apache Druid vs. BaseX vs. GeoSpock vs. SpatiaLite

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonGeoSpock  Xexclude from comparisonSpatiaLite  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Spatial and temporal data processing engine for extreme data scaleSpatial extension of SQLite
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS
Time Series DBMS
Native XML DBMSRelational DBMSSpatial DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitebitnine.net/­agensgraphdruid.apache.orgbasex.orggeospock.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationbitnine.net/­documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orgwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperBitnine Global Inc.Apache Software Foundation and contributorsBaseX GmbHGeoSpockAlessandro Furieri
Initial release2016201220072008
Current release2.1, December 201829.0.1, April 202410.7, August 20232.0, September 20195.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache license v2Open Source infoBSD licensecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaJava, JavascriptC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Linux
OS X
Windows
hostedserver-less
Data schemedepending on used data modelyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesno infoXQuery supports typesyesyes
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 indexesyesyesyestemporal, categoricalyes
SQL infoSupport of SQLyesSQL for queryingnoANSI SQL for query only (using Presto)yes
APIs and other access methodsCypher Query Language
JDBC
JDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
Supported programming languagesC
Java
JavaScript
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyesnoyesnono
Triggersnonoyes infovia eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infomanual/auto, time-basednoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per tableno

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More resources
AgensGraphApache DruidBaseXGeoSpockSpatiaLite
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