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DBMS > Adabas vs. Graph Engine vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. WakandaDB

System Properties Comparison Adabas vs. Graph Engine vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. WakandaDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOLTP - 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 engineMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Relational DBMSRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iohsqldb.orgazure.microsoft.com/­services/­synapse-analyticswakanda.github.io
Technical documentationwww.graphengine.io/­docs/­manualhsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperSoftware AGMicrosoftMicrosoftWakanda SAS
Initial release19712010200120162012
Current release2.7.2, June 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infobased on BSD licensecommercialOpen Source infoAGPLv3, extended commercial license 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 language.NET and CJavaC++C++, JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NETAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedLinux
OS X
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.nonononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyesyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNaturalC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC
Java
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresin NaturalyesJava, SQLTransact SQLyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno 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 dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardyesyes

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More resources
Adabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinityHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseWakandaDB
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