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DBMS > Adabas vs. Altibase vs. AnzoGraph DB vs. Graph Engine

System Properties Comparison Adabas vs. Altibase vs. AnzoGraph DB vs. Graph Engine

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAltibase  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn enterprise grade, high-performance RDBMSScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelMultivalue DBMSRelational DBMSGraph DBMS
RDF store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlaltibase.comcambridgesemantics.com/­anzographwww.graphengine.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.graphengine.io/­docs/­manual
DeveloperSoftware AGAltibaseCambridge SemanticsMicrosoft
Initial release1971199920182010
Current releasev7.3, 2023, August 20232.3, January 2021
License infoCommercial or Open Sourcecommercialcommercial infoOpen source edition discontinued with March 2023commercial infofree trial version availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and C
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
AIX
HP-UX
Linux
Linux.NET
Data schemeyesyesSchema-free and OWL/RDFS-schema supportyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayANSI SQL-92SPARQL and SPARQL* as primary query language. Cypher preview.no
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
Proprietary protocol
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP API
Supported programming languagesNaturalC
C++
Java
C++
Java
Python
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresin Naturalstored procedures and stored functionsuser defined functions and aggregatesyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesMulti-source replication in MPP-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoKerberos/HDFS data loading
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in MPP-Cluster
Foreign keys infoReferential integritynoyesno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardAccess rights for users and roles

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Adabas infodenotes "adaptable data base"AltibaseAnzoGraph DBGraph Engine infoformer name: Trinity
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