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DBMS > HEAVY.AI vs. OrigoDB vs. OushuDB vs. SWC-DB

System Properties Comparison HEAVY.AI vs. OrigoDB vs. OushuDB vs. SWC-DB

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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 comparisonOushuDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 databaseA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMSWide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
origodb.comwww.oushu.com/­product/­oushuDBgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.heavy.aiorigodb.com/­docswww.oushu.com/­documentation
DeveloperHEAVY.AI, Inc.Robert Friberg et alOushuAlex Kashirin
Initial release20162009 infounder the name LiveDB2020
Current release5.10, January 20224.0.1, August 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen SourcecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC#C++
Server operating systemsLinuxLinux
Windows
LinuxLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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 .NETno
Secondary indexesnoyesyes
SQL infoSupport of SQLyesnoFull-featured ANSI SQL supportSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.NetC
C++
C++
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infoclient side managed; servers are not synchronizedyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationKerberos, SSL and role based access

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OrigoDBOushuDBSWC-DB infoSuper Wide Column Database
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