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DBMS > 4D vs. Adabas vs. Graph Engine vs. Hive vs. Microsoft Azure Synapse Analytics

System Properties Comparison 4D vs. Adabas vs. Graph Engine vs. Hive vs. Microsoft Azure Synapse Analytics

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 comparisonHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 enginedata warehouse software for querying and managing large distributed datasets, built on HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSMultivalue DBMSGraph DBMS
Key-value store
Relational DBMSRelational 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
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.4d.comwww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iohive.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdeveloper.4d.comwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analytics
Developer4D, IncSoftware AGMicrosoftApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release19841971201020122016
Current releasev20, April 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CJavaC++
Server operating systemsOS X
Windows
BS2000
Linux
Unix
Windows
z/OS
z/VSE
.NETAll OS with a Java VMhosted
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.yesnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith add-on product Adabas SQL GatewaynoSQL-like DML and DDL statementsyes
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 APIJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
NaturalC#
C++
F#
Visual Basic
C++
Java
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyesin Naturalyesyes infouser defined functions and integration of map-reduceTransact SQL
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, with add-on product Event Replicatorselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
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)Access rights for users, groups and rolesyes

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More resources
4D infoformer name: 4th DimensionAdabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinityHiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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