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DBMS > Apache Druid vs. Badger vs. GeoSpock vs. SpatiaLite

System Properties Comparison Apache Druid vs. Badger vs. GeoSpock vs. SpatiaLite

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonGeoSpock  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Spatial and temporal data processing engine for extreme data scaleSpatial extension of SQLite
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSSpatial DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.22
Rank#128  Overall
#64  Relational DBMS
#9  Time Series DBMS
Score0.13
Rank#358  Overall
#54  Key-value stores
Score0.32
Rank#293  Overall
#136  Relational DBMS
Score2.21
Rank#129  Overall
#3  Spatial DBMS
Websitedruid.apache.orggithub.com/­dgraph-io/­badgergeospock.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerdocs.geospock.com/­Content/­Home.htmwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation and contributorsDGraph LabsGeoSpockAlessandro Furieri
Initial release201220172008
Current release24.0.1, November 20222.0, September 20195.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, JavascriptC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
hostedserver-less
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnotemporal, categoricalyes
SQL infoSupport of SQLSQL for queryingnoANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Server-side scripts infoStored proceduresnononono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users can be defined per tableno

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More resources
Apache DruidBadgerGeoSpockSpatiaLite
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Spatial database management systems
6 April 2021, Matthias Gelbmann

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