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DBMS > Adabas vs. Microsoft SQL Server vs. Netezza vs. OrientDB

System Properties Comparison Adabas vs. Microsoft SQL Server vs. Netezza vs. OrientDB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMicrosofts relational DBMSData warehouse and analytics appliance part of IBM PureSystemsMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
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
Score1098.55
Rank#3  Overall
#3  Relational DBMS
Score19.61
Rank#33  Overall
#20  Relational DBMS
Score5.11
Rank#63  Overall
#11  Document stores
#4  Graph DBMS
#11  Key-value stores
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlwww.microsoft.com/­en-us/­sql-serverwww.ibm.com/­analytics/­netezzaorientdb.com
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationorientdb.org/­docs/­3.0.x
DeveloperSoftware AGMicrosoftIBMOrientDB LTD; CallidusCloud
Initial release1971198920002010
Current releaseSQL Server 2019, November 20193.0.23, August 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Windows
Linux infoincluded in applianceAll OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesyesSQL-like query language, no joins
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesNaturalC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresin NaturalTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavayesJava, Javascript
TriggersnoyesnoHooks
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistatables can be distributed across several files (horizontal partitioning); sharding through federationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, but depending on the SQL-Server EditionMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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)fine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess rights for users and roles; record level security configurable

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