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DBMS > Adabas vs. Drizzle vs. Microsoft Azure SQL Data Warehouse vs. Microsoft SQL Server vs. Sphinx

System Properties Comparison Adabas vs. Drizzle vs. Microsoft Azure SQL Data Warehouse vs. Microsoft SQL Server vs. Sphinx

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMicrosofts relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.66
Rank#68  Overall
#1  Multivalue DBMS
Score9.45
Rank#42  Overall
#26  Relational DBMS
Score1098.55
Rank#3  Overall
#3  Relational DBMS
Score6.52
Rank#53  Overall
#5  Search engines
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlazure.microsoft.com/­services/­sql-data-warehousewww.microsoft.com/­en-us/­sql-serversphinxsearch.com
Technical documentationdocs.microsoft.com/­azure/­sql-data-warehousedocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationsphinxsearch.com/­docs
DeveloperSoftware AGDrizzle project, originally started by Brian AkerMicrosoftMicrosoftSphinx Technologies Inc.
Initial release19712008201619892001
Current release7.2.4, September 2012SQL Server 2019, November 20193.1.1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
OS X
hostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infowith proprietary extensionsyesyesSQL-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
JDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocol
Supported programming languagesNaturalC
C++
Java
PHP
C#
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresin NaturalnoTransact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnono infohooks for callbacks inside the server can be used.noyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingSharding, horizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationSharding 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 ReplicatorMaster-master replication
Master-slave replication
yesyes, but depending on the SQL-Server Editionnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Pluggable authentication mechanisms infoe.g. LDAP, HTTPyesfine grained access rights according to SQL-standardno

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More resources
Adabas infodenotes "adaptable data base"DrizzleMicrosoft Azure SQL Data WarehouseMicrosoft SQL ServerSphinx
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