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DBMS > Coveo vs. HEAVY.AI vs. VictoriaMetrics

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

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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 comparisonVictoriaMetrics  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 hardwareA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelSearch engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#117  Overall
#11  Search engines
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score1.42
Rank#161  Overall
#14  Time Series DBMS
Websitewww.coveo.comgithub.com/­heavyai/­heavydb
www.heavy.ai
victoriametrics.com
Technical documentationdocs.coveo.comdocs.heavy.aidocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCoveoHEAVY.AI, Inc.VictoriaMetrics
Initial release201220162018
Current release5.10, January 2022v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2.0
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 CUDAGo
Server operating systemshostedLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
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.yesno
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standard

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More resources
CoveoHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022VictoriaMetrics
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