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

System Properties Comparison HEAVY.AI vs. OrigoDB vs. Realm 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 comparisonRealm  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 DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Document storeWide 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
Score7.60
Rank#52  Overall
#9  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
origodb.comrealm.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.heavy.aiorigodb.com/­docsrealm.io/­docs
DeveloperHEAVY.AI, Inc.Robert Friberg et alRealm, acquired by MongoDB in May 2019Alex Kashirin
Initial release20162009 infounder the name LiveDB20142020
Current release5.10, January 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen SourceOpen 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
Android
Backend: server-less
iOS
Windows
Linux
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 .NETnono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
HTTP API
LINQ
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyes infoDomain Eventsyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning infoclient side managed; servers are not synchronizednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes infoIn-Memory realmno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationyes

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