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DBMS > Greenplum vs. HEAVY.AI vs. Hypertable vs. Tibero vs. Tkrzw

System Properties Comparison Greenplum vs. HEAVY.AI vs. Hypertable vs. Tibero vs. Tkrzw

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonTibero  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is 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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopA secure RDBMS, designed for easy portability from OracleA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegreenplum.orggithub.com/­heavyai/­heavydb
www.heavy.ai
us.tmaxsoft.com/­products/­tiberodbmx.net/­tkrzw
Technical documentationdocs.greenplum.orgdocs.heavy.aitechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperPivotal Software Inc.HEAVY.AI, Inc.Hypertable Inc.TmaxSoftMikio Hirabayashi
Initial release20052016200920032020
Current release7.0.0, September 20235.10, January 20220.9.8.11, March 20166, April 20150.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2.0
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 languageC++ and CUDAC++C and AssemblerC++
Server operating systemsLinuxLinuxLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 4.2noyesno
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyesyesnoyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Thrift
Vega
C++ API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
Java
Perl
Python
R
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnonoPersistent Stored Procedure (PSM)no
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardinghorizontal partitioning infoby range, hash, list or compositenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationselectable replication factor on file system levelMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesno infoplanned for next versionyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard (SQL 92, SQL 99)no

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More resources
GreenplumHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableTiberoTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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