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DBMS > Adabas vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. SQream DB

System Properties Comparison Adabas vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Quasardb vs. SQream DB

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 comparisonQuasardb  Xexclude from comparisonSQream DB  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 ServerDistributed, high-performance timeseries databasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMSRelational 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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.ioazure.microsoft.com/­services/­synapse-analyticsquasar.aisqream.com
Technical documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticsdoc.quasar.ai/­masterdocs.sqream.com
DeveloperSoftware AGMicrosoftMicrosoftquasardbSQream Technologies
Initial release19712010201620092017
Current release3.14.1, January 20242022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++C++C++, CUDA, Haskell, Java, Scala
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NEThostedBSD
Linux
OS X
Windows
Linux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes, ANSI Standard SQL Types
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 indexesyesyesyes infowith tagsno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoyesSQL-like query languageyes
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
HTTP API.Net
JDBC
ODBC
Supported programming languagesNaturalC#
C++
F#
Visual Basic
C#
Java
PHP
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin NaturalyesTransact SQLnouser defined functions in Python
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningSharding, horizontal partitioningSharding infoconsistent hashinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
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-constraintsnono
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 storageyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesCryptographically strong user authentication and audit trail

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