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DBMS > Apache Druid vs. BaseX vs. Milvus vs. Quasardb vs. Valentina Server

System Properties Comparison Apache Druid vs. BaseX vs. Milvus vs. Quasardb vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBaseX  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonValentina Server  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.A DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, high-performance timeseries databaseObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Native XML DBMSVector DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitedruid.apache.orgbasex.orgmilvus.ioquasar.aiwww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.basex.orgmilvus.io/­docs/­overview.mddoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsBaseX GmbHquasardbParadigma Software
Initial release20122007201920091999
Current release29.0.1, April 202410.7, August 20232.3.4, January 20243.14.1, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSD licenseOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaJavaC++, GoC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesVector, Numeric and Stringyes infointeger and binaryyes
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 indexesyesyesnoyes infowith tagsyes
SQL infoSupport of SQLSQL for queryingnonoSQL-like query languageyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP APIHTTP APIODBC
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++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyes infovia eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writernoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeyes
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 levelsRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidBaseXMilvusQuasardbValentina Server
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Apache DruidBaseXMilvusQuasardbValentina Server
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