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DBMS > Greenplum vs. Postgres-XL vs. Solr vs. TimesTen

System Properties Comparison Greenplum vs. Postgres-XL vs. Solr vs. TimesTen

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSolr  Xexclude from comparisonTimesTen  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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA widely used distributed, scalable search engine based on Apache LuceneIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.60
Rank#39  Overall
#24  Relational DBMS
Score0.52
Rank#206  Overall
#100  Relational DBMS
Score51.26
Rank#18  Overall
#3  Search engines
Score2.25
Rank#107  Overall
#51  Relational DBMS
Websitepivotal.io/­pivotal-greenplumwww.postgres-xl.orglucene.apache.org/­solrwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgpdb.docs.pivotal.iowww.postgres-xl.org/­documentationlucene.apache.org/­solr/­resources.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperPivotal Software Inc.Apache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20052014 infosince 2012, originally named StormDB20061998
Current release6.7.1, April 202010 R1, October 20188.5.2, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licenseOpen 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 languageCJava
Server operating systemsLinuxLinux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes 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 infosince Version 4.2yes infoXML type, but no XML query functionalityyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyes infodistributed, parallel query executionSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
Java
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesuser defined functionsJava pluginsPL/SQL
Triggersyesyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyesMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GreenplumPostgres-XLSolrTimesTen
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsStandard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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GreenplumPostgres-XLSolrTimesTen
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