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DBMS > Adabas vs. AnzoGraph DB vs. Fujitsu Enterprise Postgres vs. SAP HANA

System Properties Comparison Adabas vs. AnzoGraph DB vs. Fujitsu Enterprise Postgres vs. SAP HANA

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.In-memory, column based data store. Available as appliance or cloud service
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcambridgesemantics.com/­anzographwww.postgresql.fastware.comwww.sap.com/­products/­hana.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.postgresql.fastware.com/­product-manualshelp.sap.com/­hana
DeveloperSoftware AGCambridge SemanticsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologySAP
Initial release197120182010
Current release2.3, January 2021Fujitsu Enterprise Postgres 14, January 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinux
Windows
Appliance or cloud-service
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySPARQL and SPARQL* as primary query language. Cypher preview.yesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesNaturalC++
Java
Python
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesuser defined functionsSQLScript, R
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic shardingpartitioning by range, list and by hashyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication in MPP-ClusterSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
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)Access rights for users and rolesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"AnzoGraph DBFujitsu Enterprise PostgresSAP HANA
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Adabas infodenotes "adaptable data base"AnzoGraph DBFujitsu Enterprise PostgresSAP HANA
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