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DBMS > Adabas vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Sphinx

System Properties Comparison Adabas vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Sphinx

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformSearch-as-a-service for web and mobile app developmentElastic, 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 KubernetesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelMultivalue DBMSSearch engineRelational DBMSTime Series DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analyticsnsdb.iosphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturesphinxsearch.com/­docs
DeveloperSoftware AGMicrosoftMicrosoftSphinx Technologies Inc.
Initial release19712015201620172001
Current releaseV13.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ScalaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedhostedLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringno
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.nononono
Secondary indexesyesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoyesSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Proprietary protocol
Supported programming languagesNaturalC#
Java
JavaScript
Python
C#
Java
PHP
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin NaturalnoTransact SQLnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yes infousing Azure authenticationyesno

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