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DBMS > Adabas vs. Datomic vs. Graph Engine vs. H2 vs. Microsoft Azure Synapse Analytics

System Properties Comparison Adabas vs. Datomic vs. Graph Engine vs. H2 vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  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 platformDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSRelational DBMSGraph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.datomic.comwww.graphengine.iowww.h2database.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGCognitectMicrosoftThomas MuellerMicrosoft
Initial release19712012201020052016
Current release1.0.6735, June 20232.2.220, July 2023
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure.NET and CJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM.NETAll OS with a Java VMhosted
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynonoyesyes
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 APIRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalClojure
Java
C#
C++
F#
Visual Basic
JavaC#
Java
PHP
Server-side scripts infoStored proceduresin Naturalyes infoTransaction FunctionsyesJava Stored Procedures and User-Defined FunctionsTransact SQL
TriggersnoBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistanone infoBut extensive use of caching in the application peershorizontal partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoBut extensive use of caching in the application peersWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno 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 dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: 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.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)nofine grained access rights according to SQL-standardyes

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More resources
Adabas infodenotes "adaptable data base"DatomicGraph Engine infoformer name: TrinityH2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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