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DBMS > 4D vs. Adabas vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. UniData,UniVerse

System Properties Comparison 4D vs. Adabas vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. UniData,UniVerse

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSMultivalue DBMSGraph DBMS
Key-value store
Relational DBMSMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score3.47
Rank#93  Overall
#2  Multivalue DBMS
Websitewww.4d.comwww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdeveloper.4d.comwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
Developer4D, IncSoftware AGMicrosoftMicrosoftRocket Software
Initial release19841971201020161985
Current releasev20, April 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercialcommercial
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 language.NET and CC++C
Server operating systemsOS X
Windows
BS2000
Linux
Unix
Windows
z/OS
z/VSE
.NEThostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesoptional
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith add-on product Adabas SQL Gatewaynoyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIADO.NET
JDBC
ODBC
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages4D proprietary IDE
PHP
NaturalC#
C++
F#
Visual Basic
C#
Java
PHP
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesin NaturalyesTransact SQLyes
Triggersyesnononoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, with add-on product Event ReplicatoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers and groupsonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesAccess rights according to SQL-standard and operating system based

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More resources
4D infoformer name: 4th DimensionAdabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseUniData,UniVerse
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