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

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

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHugeGraph  Xexclude from comparisonPostgres-XL  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.A fast-speed and highly-scalable Graph DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSGraph 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
Score12.46
Rank#41  Overall
#25  Relational DBMS
Score0.09
Rank#306  Overall
#30  Graph DBMS
Score0.54
Rank#227  Overall
#110  Relational DBMS
Score1.89
Rank#120  Overall
#59  Relational DBMS
Websitegreenplum.orggithub.com/­hugegraphwww.postgres-xl.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.greenplum.orghugegraph.github.io/­hugegraph-docwww.postgres-xl.org/­documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperPivotal Software Inc.BaiduOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200520182014 infosince 2012, originally named StormDB1998
Current release6.7.1, April 20200.910 R1, October 201811 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMozilla public licensecommercial
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 languageJavaC
Server operating systemsLinuxLinux
macOS
Unix
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 4.2noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
Java
Perl
Python
R
Groovy
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsuser defined functionsPL/SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACID
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GreenplumHugeGraphPostgres-XLTimesTen
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