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DBMS > Adabas vs. atoti vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. SWC-DB

System Properties Comparison Adabas vs. atoti vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. SWC-DB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonatoti  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A 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 ServerA high performance, scalable Wide Column DBMS
Primary database modelMultivalue DBMSObject oriented DBMSGraph DBMS
Key-value store
Relational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlatoti.iowww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticsgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.atoti.iowww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGActiveViamMicrosoftMicrosoftAlex Kashirin
Initial release1971201020162020
Current release0.5, April 2021
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen Source infoMIT LicensecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NEThostedLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayMultidimensional Expressions (MDX)noyesSQL-like query language
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
Proprietary protocol
Thrift
Supported programming languagesNaturalC#
C++
F#
Visual Basic
C#
Java
PHP
C++
Server-side scripts infoStored proceduresin NaturalPythonyesTransact SQLno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding, horizontal partitioninghorizontal partitioningSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes
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 integritynonono 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 dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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 storageyesyes
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)yes

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More resources
Adabas infodenotes "adaptable data base"atotiGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSWC-DB infoSuper Wide Column Database
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