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DBMS > BaseX vs. Graph Engine vs. gStore vs. Microsoft Azure Data Explorer

System Properties Comparison BaseX vs. Graph Engine vs. gStore vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisongStore  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA native Graph DBMS to store and maintain very large RDF datasets.Fully managed big data interactive analytics platform
Primary database modelNative XML DBMSGraph DBMS
Key-value store
Graph DBMS
RDF store
Relational DBMS infocolumn oriented
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitebasex.orgwww.graphengine.ioen.gstore.cnazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.basex.orgwww.graphengine.io/­docs/­manualen.gstore.cn/­#/­enDocsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperBaseX GmbHMicrosoftMicrosoft
Initial release2007201020162019
Current release10.7, August 20231.2, November 2023cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoMIT LicenseOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava.NET and CC++
Server operating systemsLinux
OS X
Windows
.NETLinuxhosted
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.nonoyes
Secondary indexesyesall fields are automatically indexed
SQL infoSupport of SQLnononoKusto Query Language (KQL), SQL subset
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP APIHTTP API
SPARQL 1.1
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
F#
Visual Basic
C++
Java
JavaScript (Node.js)
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyesyesyesYes, possible languages: KQL, Python, R
Triggersyes infovia eventsnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAzure Active Directory Authentication

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More resources
BaseXGraph Engine infoformer name: TrinitygStoreMicrosoft Azure Data Explorer
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