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DBMS > Adabas vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Ultipa

System Properties Comparison Adabas vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Ultipa

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformElastic, large scale data warehouse service leveraging the broad eco-system of 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 modelMultivalue DBMSRelational DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlazure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.ultipa.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturewww.ultipa.com/­document
DeveloperSoftware AGMicrosoftUltipa
Initial release1971201620172019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinux
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.nonono
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
RESTful HTTP API
Supported programming languagesNaturalC#
Java
PHP
Java
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin NaturalTransact SQLno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes
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 integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
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 persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yes

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More resources
Adabas infodenotes "adaptable data base"Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbUltipa
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