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DBMS > Microsoft Azure Data Explorer vs. SpaceTime vs. SQLite vs. Yanza

System Properties Comparison Microsoft Azure Data Explorer vs. SpaceTime vs. SQLite vs. Yanza

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonSpaceTime  Xexclude from comparisonSQLite  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFully managed big data interactive analytics platformSpaceTime is a spatio-temporal DBMS with a focus on performance.Widely used embeddable, in-process RDBMSTime Series DBMS for IoT Applications
Primary database modelRelational DBMS infocolumn orientedSpatial DBMSRelational DBMSTime 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
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.mireo.com/­spacetimewww.sqlite.orgyanza.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.sqlite.org/­docs.html
DeveloperMicrosoftMireoDwayne Richard HippYanza
Initial release2019202020002015
Current releasecloud service with continuous releases3.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic Domaincommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C
Server operating systemshostedLinuxserver-lessWindows
Data schemeFixed schema with schema-less datatypes (dynamic)yesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes infonot rigid because of 'dynamic typing' concept.no
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.yesnonono
Secondary indexesall fields are automatically indexednoyesno
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implementedyes infoSQL-92 is not fully supportedno
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
C++
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rnonono
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceFixed-grid hypercubesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Real-time block device replication (DRBD)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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.nonoyes
User concepts infoAccess controlAzure Active Directory Authenticationyesnono

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More resources
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