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DBMS > Postgres-XL vs. Quasardb vs. Solr vs. UniData,UniVerse

System Properties Comparison Postgres-XL vs. Quasardb vs. Solr vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSTime Series DBMSSearch engineMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitewww.postgres-xl.orgquasar.aisolr.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.postgres-xl.org/­documentationdoc.quasar.ai/­mastersolr.apache.org/­resources.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperquasardbApache Software FoundationRocket Software
Initial release2014 infosince 2012, originally named StormDB200920061985
Current release10 R1, October 20183.14.1, January 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2commercial
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 languageCC++JavaC
Server operating systemsLinux
macOS
BSD
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infosupports customizable data types and automatic typingoptional
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.yes infoXML type, but no XML query functionalitynoyes
Secondary indexesyesyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infodistributed, parallel query executionSQL-like query languageSolr Parallel SQL Interfaceyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJava API
RESTful HTTP/JSON API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresuser defined functionsnoJava pluginsyes
Triggersyesnoyes infoUser configurable commands triggered on index changesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCACIDoptimistic lockingACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyesAccess rights according to SQL-standard and operating system based

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More resources
Postgres-XLQuasardbSolrUniData,UniVerse
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