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DBMS > Microsoft Azure Data Explorer vs. Sadas Engine vs. SAP Advantage Database Server vs. Spark SQL vs. SpatiaLite

System Properties Comparison Microsoft Azure Data Explorer vs. Sadas Engine vs. SAP Advantage Database Server vs. Spark SQL vs. SpatiaLite

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFully managed big data interactive analytics platformSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsLow-cost RDBMS with access to ISAM and FoxPro data structuresSpark SQL is a component on top of 'Spark Core' for structured data processingSpatial extension of SQLite
Primary database modelRelational DBMS infocolumn orientedRelational DBMSRelational DBMSRelational DBMSSpatial 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
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.sadasengine.comwww.sap.com/products/advantage-database-server.htmlspark.apache.org/­sqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperMicrosoftSADAS s.r.l.Sybase, SAPApache Software FoundationAlessandro Furieri
Initial release20192006199320142008
Current releasecloud service with continuous releases8.03.5.0 ( 2.13), September 20235.0.0, August 2020
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC++
Server operating systemshostedAIX
Linux
Windows
Linux
Windows
Linux
OS X
Windows
server-less
Data schemeFixed schema with schema-less datatypes (dynamic)yesyesyesyes
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-typesyesyesyesyes
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.yesnononono
Secondary indexesall fields are automatically indexedyesyesnoyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyesyesSQL-like DML and DDL statementsyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Delphi
Perl
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Rnoyesnono
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
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 integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyes infomanaged by 'Learn by Usage'no infocaching of (temporary) tables can be configurednoyes
User concepts infoAccess controlAzure Active Directory AuthenticationAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardnono

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More resources
Microsoft Azure Data ExplorerSadas EngineSAP Advantage Database Server infoformer name: Sybase ADSSpark SQLSpatiaLite
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