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DBMS > Adabas vs. Databricks vs. Faircom EDGE vs. Graph Engine vs. Yaacomo

System Properties Comparison Adabas vs. Databricks vs. Faircom EDGE vs. Graph Engine vs. Yaacomo

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatabricks  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Key-value store
Relational DBMS
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.databricks.comwww.faircom.com/­products/­faircom-edgewww.graphengine.ioyaacomo.com
Technical documentationdocs.databricks.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.graphengine.io/­docs/­manual
DeveloperSoftware AGDatabricksFairCom CorporationMicrosoftQ2WEB GmbH
Initial release19712013197920102009
Current releaseV3, October 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++.NET and C
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAndroid
Linux infoARM, x86
Raspbian
Windows
.NETAndroid
Linux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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.noyesyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaywith Databricks SQLyes infoANSI SQL queriesnoyes
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
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesNaturalPython
R
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesyes info.Net, JavaScript, C/C++yes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaFile partitioning infoCustomizable business rules for partitioninghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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 storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DatabricksFaircom EDGE infoformerly c-treeEDGEGraph Engine infoformer name: TrinityYaacomo
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Adabas infodenotes "adaptable data base"DatabricksFaircom EDGE infoformerly c-treeEDGEGraph Engine infoformer name: TrinityYaacomo
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