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DBMS > InterSystems IRIS vs. Machbase Neo vs. Microsoft Azure Data Explorer vs. Trino vs. WakandaDB

System Properties Comparison InterSystems IRIS vs. Machbase Neo vs. Microsoft Azure Data Explorer vs. Trino vs. WakandaDB

Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTrino  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTimeSeries DBMS for AIoT and BigDataFully managed big data interactive analytics platformFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS infocolumn orientedRelational DBMSObject oriented DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.intersystems.com/­products/­intersystems-irismachbase.comazure.microsoft.com/­services/­data-explorertrino.iowakanda.github.io
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmachbase.com/­dbmsdocs.microsoft.com/­en-us/­azure/­data-explorertrino.io/­broadcast
trino.io/­docs/­current
wakanda.github.io/­doc
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperInterSystemsMachbaseMicrosoftTrino Software FoundationWakanda SAS
Initial release2018201320192012 info2020 rebranded from PrestoSQL2012
Current release2023.3, June 2023V8.0, August 2023cloud service with continuous releases2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercialOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageCJavaC++, JavaScript
Server operating systemsAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS
Windows
hostedLinux
macOS infofor devlopment
Linux
OS X
Windows
Data schemedepending on used data modelyesFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.yesnoyesnono
Secondary indexesyesyesall fields are automatically indexeddepending on connected data-source
SQL infoSupport of SQLyesSQL-like query languageKusto Query Language (KQL), SQL subsetyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
RESTful HTTP API
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, Ryes, depending on connected data-sourceyes
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicedepending on connected data-sourcenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.depending on connected data-sourcenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
depending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonodepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tablenono
User concepts infoAccess controlyessimple password-based access controlAzure Active Directory AuthenticationSQL standard access controlyes
More information provided by the system vendor
InterSystems IRISMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Data ExplorerTrinoWakandaDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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InterSystems IRISMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Data ExplorerTrinoWakandaDB
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