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DBMS > Apache Druid vs. Badger vs. BaseX vs. eXtremeDB vs. SpatiaLite

System Properties Comparison Apache Druid vs. Badger vs. BaseX vs. eXtremeDB vs. SpatiaLite

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonBaseX  Xexclude from comparisoneXtremeDB  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.Light-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Natively in-memory DBMS with options for persistency, high-availability and clusteringSpatial extension of SQLite
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeNative XML DBMSRelational DBMS
Time Series DBMS
Spatial DBMS
Secondary database modelsRelational 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitedruid.apache.orggithub.com/­dgraph-io/­badgerbasex.orgwww.mcobject.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerdocs.basex.orgwww.mcobject.com/­docs/­extremedb.htmwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation and contributorsDGraph LabsBaseX GmbHMcObjectAlessandro Furieri
Initial release20122017200720012008
Current release29.0.1, April 202410.7, August 20238.2, 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoBSD licensecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC and C++C++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
server-less
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnono infoXQuery supports typesyesyes
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 infosupport of XML interfaces availableno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSQL for queryingnonoyes infowith the option: eXtremeSQLyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
GoActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Java
Lua
Python
Scala
Server-side scripts infoStored proceduresnonoyesyesno
Triggersnonoyes infovia eventsyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenonehorizontal partitioning / shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writerACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
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 systemnoUsers with fine-grained authorization concept on 4 levelsno
More information provided by the system vendor
Apache DruidBadgerBaseXeXtremeDBSpatiaLite
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DruidBadgerBaseXeXtremeDBSpatiaLite
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