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DBMS > Apache Druid vs. BaseX vs. Coveo vs. PouchDB vs. Quasardb

System Properties Comparison Apache Druid vs. BaseX vs. Coveo vs. PouchDB vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonCoveo  Xexclude from comparisonPouchDB  Xexclude from comparisonQuasardb  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.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentJavaScript DBMS with an API inspired by CouchDBDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSSearch engineDocument storeTime 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
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score2.28
Rank#115  Overall
#21  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orgbasex.orgwww.coveo.compouchdb.comquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orgdocs.coveo.compouchdb.com/­guidesdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsBaseX GmbHCoveoApache Software Foundationquasardb
Initial release20122007201220122009
Current release29.0.1, April 202410.7, August 20237.1.1, June 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licensecommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesnoyes infointeger and binary
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 indexesyesyesyesyes infovia viewsyes infowith tags
SQL infoSupport of SQLSQL for queryingnononoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
HTTP 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#
Java
JavaScript
Python
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnoView functions in JavaScriptno
Triggersnoyes infovia eventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneyesSharding infowith a proxy-based framework, named couchdb-loungeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writeryesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
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 levelsgranular access controls, API key management, content filtersnoCryptographically strong user authentication and audit trail

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More resources
Apache DruidBaseXCoveoPouchDBQuasardb
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