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DBMS > Microsoft Azure Data Explorer vs. OushuDB vs. Postgres-XL

System Properties Comparison Microsoft Azure Data Explorer vs. OushuDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonOushuDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMS infocolumn orientedRelational DBMSRelational 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
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.47
Rank#62  Overall
#36  Relational DBMS
Score0.06
Rank#362  Overall
#152  Relational DBMS
Score0.52
Rank#267  Overall
#121  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.oushu.com/­product/­oushuDBwww.postgres-xl.org
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.oushu.com/­documentationwww.postgres-xl.org/­documentation
DeveloperMicrosoftOushu
Initial release20192014 infosince 2012, originally named StormDB
Current releasecloud service with continuous releases4.0.1, August 202010 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedLinuxLinux
macOS
Data schemeFixed schema with schema-less datatypes (dynamic)yesyes
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
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.yesyes infoXML type, but no XML query functionality
Secondary indexesall fields are automatically indexedyesyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetFull-featured ANSI SQL supportyes infodistributed, parallel query execution
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Ryesuser defined functions
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAzure Active Directory AuthenticationKerberos, SSL and role based accessfine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft Azure Data ExplorerOushuDBPostgres-XL
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
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Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
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Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
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Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» more
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
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Licensing and pricing modelsAn Azure Data Explorer cluster is a pair of engine and data management clusters which...
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Microsoft Azure Data ExplorerOushuDBPostgres-XL
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