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DBMS > Apache Druid vs. BaseX vs. GeoSpock vs. SpatiaLite vs. Splice Machine

System Properties Comparison Apache Druid vs. BaseX vs. GeoSpock vs. SpatiaLite vs. Splice Machine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonGeoSpock  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSplice Machine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-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 SQLiteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSRelational DBMSSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitedruid.apache.orgbasex.orggeospock.comwww.gaia-gis.it/­fossil/­libspatialite/­indexsplicemachine.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orgwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlsplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsBaseX GmbHGeoSpockAlessandro FurieriSplice Machine
Initial release2012200720082014
Current release29.0.1, April 202410.7, August 20232.0, September 20195.0.0, August 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licensecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, JavascriptC++Java
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
hostedserver-lessLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesyes
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 indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)yesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCJDBC
Native Spark Datasource
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnonoyes infoJava
Triggersnoyes infovia eventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneAutomatic shardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyesyes
User concepts infoAccess controlRBAC 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 tablenoAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DruidBaseXGeoSpockSpatiaLiteSplice Machine
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