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DBMS > Apache Druid vs. BaseX vs. Lovefield vs. Quasardb vs. Sequoiadb

System Properties Comparison Apache Druid vs. BaseX vs. Lovefield vs. Quasardb vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonLovefield  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  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.Embeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSRelational DBMSTime Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Websitedruid.apache.orgbasex.orggoogle.github.io/­lovefieldquasar.aiwww.sequoiadb.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation and contributorsBaseX GmbHGooglequasardbSequoiadb Ltd.
Initial release20122007201420092013
Current release30.0.0, June 202411.2, August 20242.1.12, February 20173.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licenseOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes infointeger and binaryyes infooid, date, timestamp, binary, regex
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 infowith tagsyes
SQL infoSupport of SQLSQL for queryingnoSQL-like query language infovia JavaScript builder patternSQL-like query languageSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HTTP APIproprietary protocol using JSON
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
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesnonoJavaScript
Triggersnoyes infovia eventsUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenoneSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes infoTransient modeno
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 levelsnoCryptographically strong user authentication and audit trailsimple password-based access control

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More resources
Apache DruidBaseXLovefieldQuasardbSequoiadb
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