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DBMS > Datomic vs. Microsoft Azure SQL Database vs. NSDb vs. Ultipa

System Properties Comparison Datomic vs. Microsoft Azure SQL Database vs. NSDb vs. Ultipa

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.datomic.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.iowww.ultipa.com
Technical documentationdocs.datomic.comdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architecturewww.ultipa.com/­document
DeveloperCognitectMicrosoftUltipa
Initial release2012201020172019
Current release1.0.7075, December 2023V12
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++Java, Scala
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, string
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.noyesno
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsTransact SQLno
TriggersBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
DatomicMicrosoft Azure SQL Database infoformerly SQL AzureNSDbUltipa
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