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DBMS > AgensGraph vs. DataFS vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Stardog

System Properties Comparison AgensGraph vs. DataFS vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Stardog

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDataFS  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully managed big data interactive analytics platformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelGraph DBMS
Relational DBMS
Object oriented DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn orientedGraph DBMS
RDF store
Secondary database modelsGraph DBMSDocument 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitebitnine.net/­agensgraphnewdatabase.comwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorerwww.stardog.com
Technical documentationbitnine.net/­documentationdev.mobiland.com/­Overview.xspdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.stardog.com
DeveloperBitnine Global Inc.Mobiland AGInterSystemsMicrosoftStardog-Union
Initial release20162018201820192010
Current release2.1, December 20181.1.263, October 20222023.3, June 2023cloud service with continuous releases7.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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 languageCJava
Server operating systemsLinux
OS X
Windows
WindowsAIX
Linux
macOS
Ubuntu
Windows
hostedLinux
macOS
Windows
Data schemedepending on used data modelClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)depending on used data modelFixed schema with schema-less datatypes (dynamic)schema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonoyesyesno infoImport/export of XML data possible
Secondary indexesyesnoyesall fields are automatically indexedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyesnoyesKusto Query Language (KQL), SQL subsetYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsCypher Query Language
JDBC
.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C#
C++
VB.Net
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesyesYes, possible languages: KQL, Python, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersnono, except callback-events from server when changes happenedyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceProprietary Sharding systemShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
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.nonoyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardWindows-ProfileyesAzure Active Directory AuthenticationAccess rights for users and roles
More information provided by the system vendor
AgensGraphDataFSInterSystems IRISMicrosoft Azure Data ExplorerStardog
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AgensGraphDataFSInterSystems IRISMicrosoft Azure Data ExplorerStardog
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