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DBMS > Apache Druid vs. Quasardb vs. searchxml vs. Valentina Server

System Properties Comparison Apache Druid vs. Quasardb vs. searchxml vs. Valentina Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonsearchxml  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseDBMS for structured and unstructured content wrapped with an application serverObject-relational database and reports server
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.67
Rank#97  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.21
Rank#284  Overall
#22  Time Series DBMS
Score0.00
Rank#351  Overall
#7  Native XML DBMS
#19  Search engines
Score0.20
Rank#286  Overall
#133  Relational DBMS
Websitedruid.apache.orgquasardb.netwww.searchxml.net/­category/­productswww.valentina-db.net
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasardb.netwww.searchxml.net/­support/­handoutsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation and contributorsquasardbinformationpartners gmbhParadigma Software
Initial release2012200920151999
Current release0.21.0, April 20213.1, January 20191.05.7.5
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
WindowsLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyesyes
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.nonoyes
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languagenoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infomost other programming languages supported via APIs.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes infoon the application serveryes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factoryes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidQuasardbsearchxmlValentina Server
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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Apache DruidQuasardbsearchxmlValentina Server
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