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DBMS > HEAVY.AI vs. TerarkDB vs. Tibero vs. Tkrzw vs. UniData,UniVerse

System Properties Comparison HEAVY.AI vs. TerarkDB vs. Tibero vs. Tkrzw vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTerarkDB  Xexclude from comparisonTibero  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA 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 CabinetMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value storeMultivalue DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score1.46
Rank#151  Overall
#70  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score2.25
Rank#112  Overall
#2  Multivalue DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­bytedance/­terarkdbus.tmaxsoft.com/­products/­tiberodbmx.net/­tkrzwwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.heavy.aibytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperHEAVY.AI, Inc.ByteDance, originally TerarkTmaxSoftMikio HirabayashiRocket Software
Initial release20162016200320201985
Current release5.10, January 20227, September 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial inforestricted open source version availablecommercialOpen Source infoApache Version 2.0commercial
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++C
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnooptional
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyesnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C++
Java
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoPersistent Stored Procedure (PSM)noyes
Triggersnonoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonehorizontal partitioning infoby range, hash, list or compositenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoconfigurable
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.yesyesno infoplanned for next versionyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard (SQL 92, SQL 99)noAccess rights according to SQL-standard and operating system based

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