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DBMS > BigObject vs. HEAVY.AI vs. InterSystems IRIS vs. RDFox vs. Snowflake

System Properties Comparison BigObject vs. HEAVY.AI vs. InterSystems IRIS vs. RDFox vs. Snowflake

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonRDFox  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityHigh performance knowledge graph and semantic reasoning engineCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitebigobject.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.intersystems.com/­products/­intersystems-iriswww.oxfordsemantic.techwww.snowflake.com
Technical documentationdocs.bigobject.iodocs.heavy.aidocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.oxfordsemantic.techdocs.snowflake.net/­manuals/­index.html
DeveloperBigObject, Inc.HEAVY.AI, Inc.InterSystemsOxford Semantic TechnologiesSnowflake Computing Inc.
Initial release20152016201820172014
Current release5.10, January 20222023.3, June 20236.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Windows
hosted
Data schemeyesyesdepending on used data modelyes infoRDF schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesyes
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesnoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuanoyesuser defined functions
Triggersnonoyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replicationreplication via a shared file systemyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesRoles, resources, and access typesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
BigObjectHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISRDFoxSnowflake
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BigObjectHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems IRISRDFoxSnowflake
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