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DBMS > Badger vs. Brytlyt vs. Dgraph vs. Faircom EDGE vs. FileMaker

System Properties Comparison Badger vs. Brytlyt vs. Dgraph vs. Faircom EDGE vs. FileMaker

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonDgraph  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFileMaker  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 PostgreSQLDistributed and scalable native Graph DBMSFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFileMaker is a cross-platform RDBMS that includes a GUI frontend.
Primary database modelKey-value storeRelational DBMSGraph DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iodgraph.iowww.faircom.com/­products/­faircom-edgewww.claris.com/­filemaker
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodgraph.io/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.claris.com/­resources/­documentation
DeveloperDGraph LabsBrytlytDgraph Labs, Inc.FairCom CorporationClaris infoa subsidiary of Apple
Initial release20172016201619791983
Current release5.0, August 2023V3, October 202019.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial infoRestricted, free version availablecommercial
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 languageGoC, C++ and CUDAGoANSI C, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
iOS infoclient part only
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Typesyes
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.noyesyes infoA http query request can return the data in XML format
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesnoyes infoANSI SQL queriesyes infovia plugins
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
PHP
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnoyes info.Net, JavaScript, C/C++yes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyesFile partitioning infoCustomizable business rules for partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSynchronous replication via Raftyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnoyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoacross SQL and NoSQLyes
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.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno infoPlanned for future releasesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.simple rights management via user accounts and connection to external directory services

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More resources
BadgerBrytlytDgraphFaircom EDGE infoformerly c-treeEDGEFileMaker
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