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DBMS > Coveo vs. DataFS vs. HEAVY.AI

System Properties Comparison Coveo vs. DataFS vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDataFS  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelSearch engineObject oriented DBMSRelational DBMS
Secondary database modelsGraph DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitewww.coveo.comnewdatabase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.coveo.comdev.mobiland.com/­Overview.xspdocs.heavy.ai
DeveloperCoveoMobiland AGHEAVY.AI, Inc.
Initial release201220182016
Current release1.1.263, October 20225.10, January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemshostedWindowsLinux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP API.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C#
C++
VB.Net
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersyesno, except callback-events from server when changes happenedno
Partitioning methods infoMethods for storing different data on different nodesyesProprietary Sharding systemSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlgranular access controls, API key management, content filtersWindows-Profilefine grained access rights according to SQL-standard

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More resources
CoveoDataFSHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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29 April 2024, IT Brief Australia

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