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DBMS > Atos Standard Common Repository vs. GeoMesa vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Microsoft SQL Server

System Properties Comparison Atos Standard Common Repository vs. GeoMesa vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Microsoft SQL Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoMesa  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully managed big data interactive analytics platformMicrosofts flagship relational DBMS
Primary database modelDocument store
Key-value store
Spatial DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn orientedRelational 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
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.geomesa.orgwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorerwww.microsoft.com/­en-us/­sql-server
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorerlearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAtos Convergence CreatorsCCRi and othersInterSystemsMicrosoftMicrosoft
Initial release20162014201820191989
Current release17034.0.5, February 20242023.3, June 2023cloud service with continuous releasesSQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaScalaC++
Server operating systemsLinuxAIX
Linux
macOS
Ubuntu
Windows
hostedLinux
Windows
Data schemeSchema and schema-less with LDAP viewsyesdepending on used data modelFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateoptionalyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.yesnoyesyesyes
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoyesKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnonoyesYes, possible languages: KQL, Python, RTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisiondepending on storage layerShardingSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDnoACID
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.yesdepending on storage layeryesnoyes
User concepts infoAccess controlLDAP bind authenticationyes infodepending on the DBMS used for storageyesAzure Active Directory Authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryGeoMesaInterSystems IRISMicrosoft Azure Data ExplorerMicrosoft SQL Server
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Atos Standard Common RepositoryGeoMesaInterSystems IRISMicrosoft Azure Data ExplorerMicrosoft SQL Server
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