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DBMS > Apache Druid vs. BaseX vs. openGauss vs. PouchDB

System Properties Comparison Apache Druid vs. BaseX vs. openGauss vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonopenGauss  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial 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
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitedruid.apache.orgbasex.orggitee.com/­opengauss
opengauss.org
pouchdb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orgdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
pouchdb.com/­guides
DeveloperApache Software Foundation and contributorsBaseX GmbHHuawei and openGauss communityApache Software Foundation
Initial release2012200720192012
Current release29.0.1, April 202410.7, August 20233.0, March 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licenseOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++, JavaJavaScript
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesno
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
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLSQL for queryingnoANSI SQL 2011no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Java
JavaScript
Server-side scripts infoStored proceduresnoyesyesView functions in JavaScript
Triggersnoyes infovia eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonehorizontal partitioning (by range, list and hash)Sharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles according to SQL-standardno

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More resources
Apache DruidBaseXopenGaussPouchDB
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