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DBMS > Greenplum vs. Oracle Berkeley DB vs. Postgres-XL vs. SQream DB vs. TimesTen

System Properties Comparison Greenplum vs. Oracle Berkeley DB vs. Postgres-XL vs. SQream DB vs. TimesTen

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSQream DB  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.Widely used in-process key-value storeBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresa GPU-based, columnar RDBMS for big data analytics workloadsIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegreenplum.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.postgres-xl.orgsqream.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.greenplum.orgdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgres-xl.org/­documentationdocs.sqream.comdocs.oracle.com/­database/­timesten-18.1
DeveloperPivotal Software Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleSQream TechnologiesOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200519942014 infosince 2012, originally named StormDB20171998
Current release7.0.0, September 202318.1.40, May 202010 R1, October 20182022.1.6, December 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoMozilla public licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)CC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI Standard SQL Typesyes
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 infoonly with the Berkeley DB XML editionyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableyes infodistributed, parallel query executionyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
Java
Perl
Python
R
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnouser defined functionsuser defined functions in PythonPL/SQL
Triggersyesyes infoonly for the SQL APIyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioninghorizontal and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GreenplumOracle Berkeley DBPostgres-XLSQream DBTimesTen
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