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DBMS > Adabas vs. Brytlyt vs. Faircom EDGE vs. HugeGraph vs. Kinetica

System Properties Comparison Adabas vs. Brytlyt vs. Faircom EDGE vs. HugeGraph vs. Kinetica

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBrytlyt  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUs
Primary database modelMultivalue DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlbrytlyt.iowww.faircom.com/­products/­faircom-edgegithub.com/­hugegraph
hugegraph.apache.org
www.kinetica.com
Technical documentationdocs.brytlyt.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhugegraph.apache.org/­docsdocs.kinetica.com
DeveloperSoftware AGBrytlytFairCom CorporationBaiduKinetica
Initial release19712016197920182012
Current release5.0, August 2023V3, October 20200.97.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAANSI C, C++JavaC, C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Unix
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes, 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.noyes infospecific XML-type available, but no XML query functionality.yesnono
Secondary indexesyesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesyes infoANSI SQL queriesnoSQL-like DML and DDL statements
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNatural.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Groovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin Naturaluser defined functions infoin PL/pgSQLyes info.Net, JavaScript, C/C++asynchronous Gremlin script jobsuser defined functions
Triggersnoyesyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
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 partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infowhen using SQLyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users, roles and permissionsAccess rights for users and roles on table level

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More resources
Adabas infodenotes "adaptable data base"BrytlytFaircom EDGE infoformerly c-treeEDGEHugeGraphKinetica
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