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DBMS > Adabas vs. AnzoGraph DB vs. Graph Engine vs. LokiJS vs. Microsoft Azure Synapse Analytics

System Properties Comparison Adabas vs. AnzoGraph DB vs. Graph Engine vs. LokiJS vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLokiJS  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 platformScalable 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 engineIn-memory JavaScript DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Graph DBMS
Key-value store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#87  Overall
#1  Multivalue DBMS
Score0.31
Rank#295  Overall
#24  Graph DBMS
#13  RDF stores
Score0.64
Rank#241  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.52
Rank#259  Overall
#41  Document stores
Score23.95
Rank#30  Overall
#18  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcambridgesemantics.com/­anzographwww.graphengine.iogithub.com/­techfort/­LokiJSazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.graphengine.io/­docs/­manualtechfort.github.io/­LokiJSdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGCambridge SemanticsMicrosoftMicrosoft
Initial release19712018201020142016
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoMIT LicenseOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaScriptC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux.NETserver-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeyesSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnoyes infovia viewsyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySPARQL and SPARQL* as primary query language. Cypher preview.nonoyes
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
RESTful HTTP APIJavaScript APIADO.NET
JDBC
ODBC
Supported programming languagesNaturalC++
Java
Python
C#
C++
F#
Visual Basic
JavaScriptC#
Java
PHP
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesyesView functions in JavaScriptTransact SQL
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic shardinghorizontal partitioningnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication in MPP-Clusternoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusternoneImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnonono 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 dataACIDACIDnono infoatomic operations within a single collection possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
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)Access rights for users and rolesnoyes

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