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DBMS > Adabas vs. Manticore Search vs. Microsoft Azure SQL Data Warehouse

System Properties Comparison Adabas vs. Manticore Search vs. Microsoft Azure SQL Data Warehouse

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.24
Rank#73  Overall
#1  Multivalue DBMS
Score0.09
Rank#307  Overall
#15  Search engines
Score8.39
Rank#50  Overall
#29  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlmanticoresearch.comazure.microsoft.com/­services/­sql-data-warehouse
Technical documentationdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
docs.microsoft.com/­azure/­sql-data-warehouse
DeveloperSoftware AGManticore SoftwareMicrosoft
Initial release197120172016
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
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
NetBSD
OS X
Solaris
Windows
hosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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.nono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesNaturalC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
PHP
Server-side scripts infoStored proceduresin NaturalnoTransact SQL
Triggersnonono
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, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
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)noyes

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More resources
Adabas infodenotes "adaptable data base"Manticore SearchMicrosoft Azure SQL Data Warehouse
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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31 August 2016, Business Wire

provided by Google News

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14 April 2020, ZDNet

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4 November 2019, ZDNet

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