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DBMS > Postgres-XL vs. Quasardb vs. Solr vs. Yaacomo

System Properties Comparison Postgres-XL vs. Quasardb vs. Solr vs. Yaacomo

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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 LuceneOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSSearch engineRelational 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
Websitewww.postgres-xl.orgquasar.aisolr.apache.orgyaacomo.com
Technical documentationwww.postgres-xl.org/­documentationdoc.quasar.ai/­mastersolr.apache.org/­resources.html
DeveloperquasardbApache Software FoundationQ2WEB GmbH
Initial release2014 infosince 2012, originally named StormDB200920062009
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++Java
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)Android
Linux
Windows
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infosupports customizable data types and automatic typingyes
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 functionalitynoyesno
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
JDBC
ODBC
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
Server-side scripts infoStored proceduresuser defined functionsnoJava plugins
Triggersyesnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingShardinghorizontal partitioning
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCACIDoptimistic lockingACID
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 modeyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailyesfine grained access rights according to SQL-standard

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More resources
Postgres-XLQuasardbSolrYaacomo
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