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DBMS > Apache Druid vs. Badger vs. BaseX vs. GeoSpock vs. Trafodion

System Properties Comparison Apache Druid vs. Badger vs. BaseX vs. GeoSpock vs. Trafodion

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonBaseX  Xexclude from comparisonGeoSpock  Xexclude from comparisonTrafodion  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.Spatial and temporal data processing engine for extreme data scaleTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeNative XML DBMSRelational DBMSRelational DBMS
Secondary database modelsTime 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Websitedruid.apache.orggithub.com/­dgraph-io/­badgerbasex.orggeospock.comtrafodion.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerdocs.basex.orgtrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation and contributorsDGraph LabsBaseX GmbHGeoSpockApache Software Foundation, originally developed by HP
Initial release2012201720072014
Current release29.0.1, April 202410.7, August 20232.0, September 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoBSD licensecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaJava, JavascriptC++, Java
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
hostedLinux
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.nononono
Secondary indexesyesnoyestemporal, categoricalyes
SQL infoSupport of SQLSQL for queryingnonoANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCADO.NET
JDBC
ODBC
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
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyesnoJava Stored Procedures
Triggersnonoyes infovia eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonomultiple readers, single writernoACID
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.nononono
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 levelsAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
Apache DruidBadgerBaseXGeoSpockTrafodion
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