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

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

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  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 featuresDistributed, high-performance timeseries databaseIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.69
Rank#39  Overall
#24  Relational DBMS
Score0.46
Rank#214  Overall
#103  Relational DBMS
Score0.11
Rank#282  Overall
#23  Time Series DBMS
Score1.88
Rank#110  Overall
#52  Relational DBMS
Websitepivotal.io/­pivotal-greenplumwww.postgres-xl.orgwww.quasardb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgpdb.docs.pivotal.iowww.postgres-xl.org/­documentationdoc.quasardb.netdocs.oracle.com/­database/­timesten-18.1
DeveloperPivotal Software Inc.quasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20052014 infosince 2012, originally named StormDB20091998
Current release6.7.1, April 202010 R1, October 20183.1, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
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++
Server operating systemsLinuxLinux
macOS
BSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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 functionalitynono
Secondary indexesyesyesyes infowith tagsyes
SQL infoSupport of SQLyesyes infodistributed, parallel query executionSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
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
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesuser defined functionsnoPL/SQL
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication with selectable replication factorMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate 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 infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes 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.nonoyes infoTransient modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard
More information provided by the system vendor
GreenplumPostgres-XLQuasardbTimesTen
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
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The world's first commercial In-Memory Relational Database offering (launched in...
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Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
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Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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GreenplumPostgres-XLQuasardbTimesTen
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