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DBMS > Adabas vs. Graph Engine vs. GridGain vs. Microsoft Azure Synapse Analytics vs. Yanza

System Properties Comparison Adabas vs. Graph Engine vs. GridGain vs. Microsoft Azure Synapse Analytics vs. Yanza

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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 engineGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTime Series DBMS for IoT Applications
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMSTime Series 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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iowww.gridgain.comazure.microsoft.com/­services/­synapse-analyticsyanza.com
Technical documentationwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGMicrosoftGridGain Systems, Inc.MicrosoftYanza
Initial release19712010200720162015
Current releaseGridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CJava, C++, .NetC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NETLinux
OS X
Solaris
Windows
hostedWindows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoANSI-99 for query and DML statements, subset of DDLyesno
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 APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesNaturalC#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
any language that supports HTTP calls
Server-side scripts infoStored proceduresin Naturalyesyes (compute grid and cache interceptors can be used instead)Transact SQLno
Triggersnonoyes (cache interceptors and events)noyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes (replicated cache)yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate 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 dataACIDnoACIDACIDno
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.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Security Hooks for custom implementationsyesno

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