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DBMS > Apache Druid vs. Coveo vs. GeoSpock vs. SpatiaLite vs. Splunk

System Properties Comparison Apache Druid vs. Coveo vs. GeoSpock vs. SpatiaLite vs. Splunk

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCoveo  Xexclude from comparisonGeoSpock  Xexclude from comparisonSpatiaLite  Xexclude from comparisonSplunk  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 dataAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentSpatial and temporal data processing engine for extreme data scaleSpatial extension of SQLiteAnalytics Platform for Big Data
Primary database modelRelational DBMS
Time Series DBMS
Search engineRelational DBMSSpatial DBMSSearch engine
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
Score2.28
Rank#114  Overall
#11  Search engines
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitedruid.apache.orgwww.coveo.comgeospock.comwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.splunk.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.coveo.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software Foundation and contributorsCoveoGeoSpockAlessandro FurieriSplunk Inc.
Initial release2012201220082003
Current release29.0.1, April 20242.0, September 20195.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptC++
Server operating systemsLinux
OS X
Unix
hostedhostedserver-lessLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedhybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)yesno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBCHTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesAutomatic shardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.nonoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemgranular access controls, API key management, content filtersAccess rights for users can be defined per tablenoAccess rights for users and roles

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More resources
Apache DruidCoveoGeoSpockSpatiaLiteSplunk
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