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DBMS > JaguarDB vs. Microsoft Azure Data Explorer vs. RDFox vs. VictoriaMetrics

System Properties Comparison JaguarDB vs. Microsoft Azure Data Explorer vs. RDFox vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRDFox  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsFully managed big data interactive analytics platformHigh performance knowledge graph and semantic reasoning engineA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value store
Vector DBMS
Relational DBMS infocolumn orientedGraph DBMS
RDF store
Time Series 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
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.jaguardb.comazure.microsoft.com/­services/­data-explorerwww.oxfordsemantic.techvictoriametrics.com
Technical documentationwww.jaguardb.com/­support.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oxfordsemantic.techdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDataJaguar, Inc.MicrosoftOxford Semantic TechnologiesVictoriaMetrics
Initial release2015201920172018
Current release3.3 July 2023cloud service with continuous releases6.0, Septermber 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC++Go
Server operating systemsLinuxhostedLinux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesFixed schema with schema-less datatypes (dynamic)yes infoRDF schemas
Typing infopredefined data types such as float or dateyesyes 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.noyesno
Secondary indexesyesall fields are automatically indexed
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersKusto Query Language (KQL), SQL subsetnono
APIs and other access methodsJDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
Java
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Rno
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.replication via a shared file systemSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlrights management via user accountsAzure Active Directory AuthenticationRoles, resources, and access types

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JaguarDBMicrosoft Azure Data ExplorerRDFoxVictoriaMetrics
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