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DBMS > Coveo vs. HEAVY.AI vs. OpenMLDB vs. OpenQM

System Properties Comparison Coveo vs. HEAVY.AI vs. OpenMLDB vs. OpenQM

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open-source machine learning database that provides a feature platform for training and inferenceQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelSearch engineRelational DBMSTime Series DBMSMultivalue DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitewww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
openmldb.aiwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.coveo.comdocs.heavy.aiopenmldb.ai/­docs/­zh/­main
DeveloperCoveoHEAVY.AI, Inc.4 Paradigm Inc.Rocket Software, originally Martin Phillips
Initial release2012201620201993
Current release5.10, January 20222024-2 February 20243.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen SourceOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++, Java, Scala
Server operating systemshostedLinuxLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesFixed schemayes infowith some exceptions
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
JDBC
SQLAlchemy
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java
Python
Scala
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnononoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robinhorizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item level

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More resources
CoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenMLDBOpenQM infoalso called QM
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