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DBMS > Apache Druid vs. BaseX vs. GeoSpock vs. Kinetica vs. Riak KV

System Properties Comparison Apache Druid vs. BaseX vs. GeoSpock vs. Kinetica vs. Riak KV

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonGeoSpock  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  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 scaleFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value store
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series 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
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitedruid.apache.orgbasex.orggeospock.comwww.kinetica.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orgdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation and contributorsBaseX GmbHGeoSpockKineticaOpenSource, formerly Basho Technologies
Initial release2012200720122009
Current release29.0.1, April 202410.7, August 20232.0, September 20197.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licensecommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, JavascriptC, C++Erlang
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
hostedLinuxLinux
OS X
Data schemeyes infoschema-less columns are supportedschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesno
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 indexesyesyestemporal, categoricalyesrestricted
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)SQL-like DML and DDL statementsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
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++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesnouser defined functionsErlang
Triggersnoyes infovia eventsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneAutomatic shardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynononoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernonono
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.nonoyes infoGPU vRAM or System RAM
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 tableAccess rights for users and roles on table levelyes, using Riak Security

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More resources
Apache DruidBaseXGeoSpockKineticaRiak KV
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