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DBMS > Microsoft Azure SQL Database vs. OrigoDB vs. Spark SQL vs. TempoIQ

System Properties Comparison Microsoft Azure SQL Database vs. OrigoDB vs. Spark SQL vs. TempoIQ

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.comspark.apache.org/­sqltempoiq.com (offline)
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMicrosoftRobert Friberg et alApache Software FoundationTempoIQ
Initial release20102009 infounder the name LiveDB20142012
Current releaseV123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#Scala
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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.yesno infocan be achieved using .NETnono
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
JDBC
ODBC
HTTP API
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetJava
Python
R
Scala
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLyesnono
Triggersyesyes infoDomain Eventsnoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationnosimple authentication-based access control

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureOrigoDBSpark SQLTempoIQ infoformerly TempoDB
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