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DBMS > Badger vs. Brytlyt vs. DataFS vs. Faircom EDGE

System Properties Comparison Badger vs. Brytlyt vs. DataFS vs. Faircom EDGE

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonDataFS  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelKey-value storeRelational DBMSObject oriented DBMSKey-value store
Relational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.ionewdatabase.comwww.faircom.com/­products/­faircom-edge
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodev.mobiland.com/­Overview.xspdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperDGraph LabsBrytlytMobiland AGFairCom Corporation
Initial release2017201620181979
Current release5.0, August 20231.1.263, October 2022V3, October 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++ and CUDAANSI C, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
WindowsAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeschema-freeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)Flexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Types
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.noyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoyes infoANSI SQL queries
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
VB.Net
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes info.Net, JavaScript, C/C++
Triggersnoyesno, except callback-events from server when changes happenedyes
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesyesyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQL
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardWindows-ProfileFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
BadgerBrytlytDataFSFaircom EDGE infoformerly c-treeEDGE
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