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DBMS > HEAVY.AI vs. InterSystems Caché vs. Microsoft Azure SQL Database

System Properties Comparison HEAVY.AI vs. InterSystems Caché vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA multi-model DBMS and application serverDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMSDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.heavy.aidocs.intersystems.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperHEAVY.AI, Inc.InterSystemsMicrosoft
Initial release201619972010
Current release5.10, January 20222018.1.4, May 2020V12
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeyesdepending on used data modelyes
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.noyesyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesTransact SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes, with always 3 replicas available
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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InterSystems CachéMicrosoft Azure SQL Database infoformerly SQL Azure
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Recent citations in the news

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19 March 2024, Datanami

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