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

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

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHugeGraph  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.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fast-speed and highly-scalable Graph DBMSAn 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 DBMSGraph DBMSWide column storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph 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/­hugegraph
hugegraph.apache.org
us.tmaxsoft.com/­products/­tiberodbmx.net/­tkrzw
Technical documentationdocs.heavy.aihugegraph.apache.org/­docstechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperHEAVY.AI, Inc.BaiduHypertable Inc.TmaxSoftMikio Hirabayashi
Initial release20162018200920032020
Current release5.10, January 20220.90.9.8.11, March 20166, April 20150.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0Open 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 CUDAJavaC++C and AssemblerC++
Server operating systemsLinuxLinux
macOS
Unix
Linux
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.nonoyesno
Secondary indexesnoyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Java API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Groovy
Java
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 proceduresnoasynchronous Gremlin script jobsnoPersistent Stored Procedure (PSM)no
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinyes infodepending on used storage backend, e.g. Cassandra and HBaseShardinghorizontal partitioning infoby range, hash, list or compositenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system levelMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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-standardUsers, roles and permissionsnofine grained access rights according to SQL-standard (SQL 92, SQL 99)no

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