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DBMS > HEAVY.AI vs. Microsoft Azure AI Search vs. Valentina Server

System Properties Comparison HEAVY.AI vs. Microsoft Azure AI Search vs. Valentina Server

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareSearch-as-a-service for web and mobile app developmentObject-relational database and reports server
Primary database modelRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#111  Overall
#55  Relational DBMS
Score6.27
Rank#66  Overall
#7  Search engines
Score0.29
Rank#335  Overall
#147  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­services/­searchwww.valentina-db.net
Technical documentationdocs.heavy.ailearn.microsoft.com/­en-us/­azure/­searchvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperHEAVY.AI, Inc.MicrosoftParadigma Software
Initial release201620151999
Current release5.10, January 2022V15.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemsLinuxhostedLinux
OS X
Windows
Data schemeyesyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
RESTful HTTP APIODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure AI SearchValentina Server
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