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DBMS > Greenplum vs. Interbase vs. Kinetica vs. Teradata Aster vs. TerarkDB

System Properties Comparison Greenplum vs. Interbase vs. Kinetica vs. Teradata Aster vs. TerarkDB

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerarkDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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.Light-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsPlatform for big data analytics on multistructured data sources and typesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitegreenplum.orgwww.embarcadero.com/­products/­interbasewww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.greenplum.orgdocs.embarcadero.com/­products/­interbasedocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperPivotal Software Inc.EmbarcaderoKineticaTeradataByteDance, originally Terark
Initial release20051984201220052016
Current release7.0.0, September 2023InterBase 2020, December 20197.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++C++
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
LinuxLinux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 4.2no infoexport as XML data possiblenoyes infoin Aster File Storeno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
C++ API
Java API
Supported programming languagesC
Java
Perl
Python
R
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languageuser defined functionsR packagesno
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInterbase Change ViewsSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standardno

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More resources
GreenplumInterbaseKineticaTeradata AsterTerarkDB
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