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DBMS > Adabas vs. Manticore Search vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

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

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMulti-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSSearch engineSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlmanticoresearch.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analytics
Technical documentationmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGManticore SoftwareMicrosoftMicrosoft
Initial release1971201720152016
Current release6.0, February 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
macOS
Windows
hostedhosted
Data schemeyesFixed schemayesyes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languagenoyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesNaturalElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
C#
Java
PHP
Server-side scripts infoStored proceduresin Naturaluser defined functionsnoTransact SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
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)noyes infousing Azure authenticationyes

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