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DBMS > Apache Impala vs. InterSystems IRIS vs. IRONdb vs. Microsoft Azure AI Search

System Properties Comparison Apache Impala vs. InterSystems IRIS vs. IRONdb vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSSearch engine
Secondary database modelsDocument storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational 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
Websiteimpala.apache.orgwww.intersystems.com/­products/­intersystems-iriswww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­search
Technical documentationimpala.apache.org/­impala-docs.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaInterSystemsCirconus LLC.Microsoft
Initial release2013201820172015
Current release4.1.0, June 20222023.3, June 2023V0.10.20, January 2018V1
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++
Server operating systemsLinuxAIX
Linux
macOS
Ubuntu
Windows
Linuxhosted
Data schemeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C++
Java
JavaScript (Node.js)
Python
.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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes, in Luano
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationconfigurable replication factor, datacenter awareyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyesnoyes infousing Azure authentication
More information provided by the system vendor
Apache ImpalaInterSystems IRISIRONdbMicrosoft Azure AI Search
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache ImpalaInterSystems IRISIRONdbMicrosoft Azure AI Search
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