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

System Properties Comparison Adabas vs. Drizzle vs. Microsoft Azure Cosmos DB 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 comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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.Globally distributed, horizontally scalable, multi-model database serviceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMicrosofts relational DBMS
Primary database modelMultivalue DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
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
Score31.51
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
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.htmlazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­sql-data-warehousewww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.microsoft.com/­azure/­sql-data-warehousedocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperSoftware AGDrizzle project, originally started by Brian AkerMicrosoftMicrosoftMicrosoft
Initial release19712008201420161989
Current release7.2.4, September 2012SQL Server 2019, November 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
OS X
hostedhostedLinux
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesyes
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 indexesyesyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyes infowith proprietary extensionsSQL-like query languageyesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesNaturalC
C++
Java
PHP
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresin NaturalnoJavaScriptTransact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnono infohooks for callbacks inside the server can be used.JavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingSharding infoImplicit feature of the cloud serviceSharding, 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
yes infoImplicit feature of the cloud serviceyesyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights can be defined down to the item levelyesfine grained access rights according to SQL-standard

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