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

System Properties Comparison Adabas vs. Graph Engine vs. Hazelcast 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 comparisonHazelcast  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 engineA widely adopted in-memory data gridElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSGraph DBMS
Key-value store
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score9.37
Rank#48  Overall
#6  Key-value stores
Score14.86
Rank#40  Overall
#24  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.graphengine.iohazelcast.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGMicrosoftHazelcastMicrosoft
Initial release1971201020082016
Current release4.2, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial
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 CJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
.NETAll OS with a Java VMhosted
Data schemeyesyesschema-freeyes
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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-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 APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalC#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresin Naturalyesyes infoEvent Listeners, Executor ServicesTransact SQL
Triggersnonoyes infoEventsno
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 infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate 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 dataACIDnoone or two-phase-commit; repeatable reads; read commitedACID
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)Role-based access controlyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Graph Engine infoformer name: TrinityHazelcastMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

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