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

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

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonTDengine  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.
DescriptionA 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 HadoopTime Series DBMS and big data platformA 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 DBMSWide column storeTime Series DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­taosdata/­TDengine
tdengine.com
us.tmaxsoft.com/­products/­tiberodbmx.net/­tkrzw
Technical documentationdocs.heavy.aidocs.tdengine.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHEAVY.AI, Inc.Hypertable Inc.TDEngine, previously Taos DataTmaxSoftMikio Hirabayashi
Initial release20162009201920032020
Current release5.10, January 20220.9.8.11, March 20163.0, August 20226, April 20150.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoAGPL V3, also commercial editions 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++CC and AssemblerC++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesnorestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLyesnoStandard SQL with extensions for time-series applicationsyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
C++ API
Thrift
JDBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononoPersistent Stored Procedure (PSM)no
Triggersnonoyes, via alarm monitoringyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardinghorizontal partitioning infoby range, hash, list or compositenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.yesno infoplanned for next versionyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesfine grained access rights according to SQL-standard (SQL 92, SQL 99)no
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableTDengineTiberoTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableTDengineTiberoTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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