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DBMS > Heroic vs. InterSystems IRIS vs. Microsoft Azure AI Search vs. Teradata Aster vs. Tkrzw

System Properties Comparison Heroic vs. InterSystems IRIS vs. Microsoft Azure AI Search vs. Teradata Aster vs. Tkrzw

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySearch-as-a-service for web and mobile app developmentPlatform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Search engineRelational DBMSKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegithub.com/­spotify/­heroicwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­en-us/­services/­searchdbmx.net/­tkrzw
Technical documentationspotify.github.io/­heroicdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clslearn.microsoft.com/­en-us/­azure/­search
DeveloperSpotifyInterSystemsMicrosoftTeradataMikio Hirabayashi
Initial release20142018201520052020
Current release2023.3, June 2023V10.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAIX
Linux
macOS
Ubuntu
Windows
hostedLinuxLinux
macOS
Data schemeschema-freedepending on used data modelyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.noyesnoyes infoin Aster File Storeno
Secondary indexesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoR packagesno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infoImplicit feature of the cloud serviceyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesnonoyes infousing specific database classes
User concepts infoAccess controlyesyes infousing Azure authenticationfine grained access rights according to SQL-standardno
More information provided by the system vendor
HeroicInterSystems IRISMicrosoft Azure AI SearchTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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HeroicInterSystems IRISMicrosoft Azure AI SearchTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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