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

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

Editorial information provided by DB-Engines
NameAdabas 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 comparisonSpaceTime  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 engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpaceTime is a spatio-temporal DBMS with a focus on performance.WakandaDB 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 DBMSSpatial DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Score0.09
Rank#352  Overall
#16  Object oriented DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticswww.mireo.com/­spacetimewakanda.github.io
Technical documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticswakanda.github.io/­doc
DeveloperSoftware AGMicrosoftMicrosoftMireoWakanda SAS
Initial release19712010201620202012
Current release2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++C++C++, JavaScript
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NEThostedLinuxLinux
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 indexesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoyesA subset of ANSI SQL is implementedno
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 APIADO.NET
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API
Supported programming languagesNaturalC#
C++
F#
Visual Basic
C#
Java
PHP
C#
C++
Python
JavaScript
Server-side scripts infoStored proceduresin NaturalyesTransact SQLnoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningSharding, horizontal partitioningFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesReal-time block device replication (DRBD)none
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 integritynonono 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 dataACIDnoACIDnoACID
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.noyesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesyesyes

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More resources
Adabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpaceTimeWakandaDB
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