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DBMS > HEAVY.AI vs. OpenMLDB

System Properties Comparison HEAVY.AI vs. OpenMLDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#147  Overall
#67  Relational DBMS
Score0.04
Rank#358  Overall
#37  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
openmldb.ai
Technical documentationdocs.heavy.aiopenmldb.ai/­docs/­zh/­main
DeveloperHEAVY.AI, Inc.4 Paradigm Inc.
Initial release20162020
Current release5.10, January 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC++, Java, Scala
Server operating systemsLinuxLinux
Data schemeyesFixed schema
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyes
SQL infoSupport of SQLyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenMLDB
Recent citations in the news

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

OmniSci Gets HEAVY New Name and New CEO
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14 April 2023, InfoWorld

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

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