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DBMS > HEAVY.AI vs. OrigoDB vs. RDFox

System Properties Comparison HEAVY.AI vs. OrigoDB vs. RDFox

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fully ACID in-memory object graph databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Graph DBMS
RDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#136  Overall
#68  Relational DBMS
Score0.01
Rank#358  Overall
#47  Document stores
#20  Object oriented DBMS
Score0.08
Rank#328  Overall
#32  Graph DBMS
#17  RDF stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
origodb.comwww.oxfordsemantic.tech
Technical documentationdocs.heavy.aiorigodb.com/­docsdocs.oxfordsemantic.tech
DeveloperHEAVY.AI, Inc.Robert Friberg et al
Initial release20162009 infounder the name LiveDB2017
Current release5.10, January 20225.2, June 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC#
Server operating systemsLinuxLinux
Windows
Linux
macOS
Windows
Data schemeyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyes
SQL infoSupport of SQLyesnono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
HTTP API
LINQ
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.NetC
Java
Server-side scripts infoStored proceduresnoyes
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorization
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OrigoDBRDFox
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OrigoDBRDFox
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