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

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

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDrizzle  Xexclude from comparisonEnterpriseDB  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft SQL Server  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.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options, complemented by tool kits for management, integration, and migration.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMicrosofts relational DBMS
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.66
Rank#68  Overall
#1  Multivalue DBMS
Score2.36
Rank#102  Overall
#49  Relational DBMS
Score9.45
Rank#42  Overall
#26  Relational DBMS
Score1098.55
Rank#3  Overall
#3  Relational DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlwww.enterprisedb.comazure.microsoft.com/­services/­sql-data-warehousewww.microsoft.com/­en-us/­sql-server
Technical documentationwww.enterprisedb.com/­resources/­product-documentationdocs.microsoft.com/­azure/­sql-data-warehousedocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperSoftware AGDrizzle project, originally started by Brian AkerEnterpriseDBMicrosoftMicrosoft
Initial release19712008200520161989
Current release7.2.4, September 2012V10, November 2017SQL Server 2019, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercial infoBSD for PostgreSQL-componentscommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
OS X
Linux
Windows
hostedLinux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infowith proprietary extensionsyes infostandard with numerous extensionsyesyes
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
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesNaturalC
C++
Java
PHP
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresin Naturalnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Transact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnono infohooks for callbacks inside the server can be used.yesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardinghorizontal partitioning infoby hash, list or rangeSharding, horizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMaster-master replication
Master-slave replication
Master-master replicationyesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Pluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DrizzleEnterpriseDBMicrosoft Azure SQL Data WarehouseMicrosoft SQL Server
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
Competitive advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
Typical application scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Adabas infodenotes "adaptable data base"DrizzleEnterpriseDBMicrosoft Azure SQL Data WarehouseMicrosoft SQL Server
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