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DBMS > Apache Druid vs. GeoSpock vs. Oracle Berkeley DB vs. SpatiaLite vs. Splunk

System Properties Comparison Apache Druid vs. GeoSpock vs. Oracle Berkeley DB vs. SpatiaLite vs. Splunk

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonOracle Berkeley DB  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 dataSpatial and temporal data processing engine for extreme data scaleWidely used in-process key-value storeSpatial extension of SQLiteAnalytics Platform for Big Data
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Spatial 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
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitedruid.apache.orggeospock.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.splunk.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software Foundation and contributorsGeoSpockOracle infooriginally developed by Sleepycat, which was acquired by OracleAlessandro FurieriSplunk Inc.
Initial release2012199420082003
Current release29.0.1, April 20242.0, September 201918.1.40, May 20205.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infocommercial license availableOpen 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 servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinux
OS X
Unix
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-lessLinux
OS X
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonoyes infoonly with the Berkeley DB XML editionnoyes
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)yes infoSQL interfaced based on SQLite is availableyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCHTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes
Triggersnonoyes infoonly for the SQL APIyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tablenonoAccess rights for users and roles

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More resources
Apache DruidGeoSpockOracle Berkeley DBSpatiaLiteSplunk
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