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DBMS > Greenplum vs. Kinetica vs. searchxml vs. Solr

System Properties Comparison Greenplum vs. Kinetica vs. searchxml vs. Solr

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Fully vectorized database across both GPUs and CPUsDBMS for structured and unstructured content wrapped with an application serverA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSNative XML DBMS
Search engine
Search engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score42.91
Rank#24  Overall
#3  Search engines
Websitegreenplum.orgwww.kinetica.comwww.searchxml.net/­category/­productssolr.apache.org
Technical documentationdocs.greenplum.orgdocs.kinetica.comwww.searchxml.net/­support/­handoutssolr.apache.org/­resources.html
DeveloperPivotal Software Inc.Kineticainformationpartners gmbhApache Software Foundation
Initial release2005201220152006
Current release7.0.0, September 20237.1, August 20211.09.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++Java
Server operating systemsLinuxLinuxWindowsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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 infosince Version 4.2noyesyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Java API
RESTful HTTP/JSON API
Supported programming languagesC
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyes infoon the application serverJava plugins
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writeroptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application servicesyes

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GreenplumKineticasearchxmlSolr
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