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DBMS > Microsoft Azure SQL Database vs. NSDb vs. openGemini vs. OpenMLDB

System Properties Comparison Microsoft Azure SQL Database vs. NSDb vs. openGemini vs. OpenMLDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonopenGemini  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.iowww.opengemini.org
github.com/­openGemini
openmldb.ai
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architecturedocs.opengemini.org/­guideopenmldb.ai/­docs/­zh/­main
DeveloperMicrosoftHuawei and openGemini community4 Paradigm Inc.
Initial release2010201720222020
Current releaseV121.1, July 20232024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaGoC++, Java, Scala
Server operating systemshostedLinux
macOS
Linux
Windows
Linux
Data schemeyesschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringInteger, Float, Boolean, Stringyes
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 indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
HTTP RESTJDBC
SQLAlchemy
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresTransact SQLnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators and common users accountsfine grained access rights according to SQL-standard

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureNSDbopenGeminiOpenMLDB
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