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DBMS > HEAVY.AI vs. InterSystems Caché vs. IRONdb vs. Microsoft Azure AI Search vs. PostgreSQL

System Properties Comparison HEAVY.AI vs. InterSystems Caché vs. IRONdb vs. Microsoft Azure AI Search vs. PostgreSQL

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.IRONdb seems to be discontinued. Therefore it is excluded 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 serverA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySearch-as-a-service for web and mobile app developmentWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSDocument storeVector DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.intersystems.com/­products/­cachewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­searchwww.postgresql.org
Technical documentationdocs.heavy.aidocs.intersystems.comdocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperHEAVY.AI, Inc.InterSystemsCirconus LLC.MicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20161997201720151989 info1989: Postgres, 1996: PostgreSQL
Current release5.10, January 20222018.1.4, May 2020V0.10.20, January 2018V116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and C++C
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesdepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesyes
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.noyesnonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infostandard with numerous extensions
APIs and other access methodsJDBC
ODBC
Thrift
Vega
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesyes, in Luanouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationconfigurable replication factor, datacenter awareyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnoyes 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 2022InterSystems CachéIRONdbMicrosoft Azure AI SearchPostgreSQL
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