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

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

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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 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 engineGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#73  Overall
#1  Multivalue DBMS
Score0.74
Rank#205  Overall
#18  Graph DBMS
#31  Key-value stores
Score1.85
Rank#124  Overall
#23  Key-value stores
#61  Relational DBMS
Score14.86
Rank#40  Overall
#24  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iowww.gridgain.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­latestdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGMicrosoftGridGain Systems, Inc.Microsoft
Initial release1971201020072016
Current releaseGridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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
hosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoANSI-99 for query and DML statements, subset of DDLyes
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
Supported programming languagesNaturalC#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresin Naturalyesyes (compute grid and cache interceptors can be used instead)Transact SQL
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono 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 dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Security Hooks for custom implementationsyes

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