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DBMS > Brytlyt vs. GridDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. MonetDB

System Properties Comparison Brytlyt vs. GridDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. MonetDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGridDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLScalable in-memory time series database optimized for IoT and Big DataA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully managed big data interactive analytics platformA relational database management system that stores data in columns
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document 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
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websitebrytlyt.iogriddb.netwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorerwww.monetdb.org
Technical documentationdocs.brytlyt.iodocs.griddb.netdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorerwww.monetdb.org/­Documentation
DeveloperBrytlytToshiba CorporationInterSystemsMicrosoftMonetDB BV
Initial release20162013201820192004
Current release5.0, August 20235.1, August 20222023.3, June 2023cloud service with continuous releasesDec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialcommercialOpen Source infoMozilla Public License 2.0
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.
Implementation languageC, C++ and CUDAC++C
Server operating systemsLinux
OS X
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesdepending on used data modelFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes 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.yes infospecific XML-type available, but no XML query functionality.noyesyes
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)yesKusto Query Language (KQL), SQL subsetyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyesYes, possible languages: KQL, Python, Ryes, in SQL, C, R
Triggersyesyesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDnoACID
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseyesAzure Active Directory Authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
BrytlytGridDBInterSystems IRISMicrosoft Azure Data ExplorerMonetDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
BrytlytGridDBInterSystems IRISMicrosoft Azure Data ExplorerMonetDB
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