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DBMS > HEAVY.AI vs. Oracle Rdb vs. Transwarp KunDB

System Properties Comparison HEAVY.AI vs. Oracle Rdb vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score0.14
Rank#340  Overall
#148  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.oracle.com/­database/­technologies/­related/­rdb.htmlwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.heavy.aiwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperHEAVY.AI, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)Transwarp
Initial release20161984
Current release5.10, January 20227.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDA
Server operating systemsLinuxHP Open VMS
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Oracle RdbTranswarp KunDB
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