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DBMS > Adabas vs. Databend vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Sequoiadb

System Properties Comparison Adabas vs. Databend vs. Graph Engine vs. Microsoft Azure Synapse Analytics vs. Sequoiadb

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatabend  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA 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 ServerNewSQL database with distributed OLTP and SQL
Primary database modelMultivalue DBMSRelational DBMSGraph DBMS
Key-value store
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­datafuselabs/­databend
www.databend.com
www.graphengine.ioazure.microsoft.com/­services/­synapse-analyticswww.sequoiadb.com
Technical documentationdocs.databend.comwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analyticswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperSoftware AGDatabend LabsMicrosoftMicrosoftSequoiadb Ltd.
Initial release19712021201020162013
Current release1.0.59, April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialOpen Source infoServer: AGPL; Client: Apache V2
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 languageRust.NET and CC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hosted
Linux
macOS
.NEThostedLinux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infooid, date, timestamp, binary, regex
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 indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesnoyesSQL-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
CLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesNaturalGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
F#
Visual Basic
C#
Java
PHP
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresin NaturalnoyesTransact SQLJavaScript
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanonehorizontal partitioningSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono 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 dataACIDyesnoACIDDocument is locked during a transaction
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.noyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Users with fine-grained authorization concept, user rolesyessimple password-based access control

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