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DBMS > Badger vs. Brytlyt vs. DataFS vs. FileMaker vs. Lovefield

System Properties Comparison Badger vs. Brytlyt vs. DataFS vs. FileMaker vs. Lovefield

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonDataFS  Xexclude from comparisonFileMaker  Xexclude from comparisonLovefield  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Embeddable relational database for web apps written in pure JavaScript
Primary database modelKey-value storeRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph 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
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.ionewdatabase.comwww.claris.com/­filemakergoogle.github.io/­lovefield
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodev.mobiland.com/­Overview.xspwww.claris.com/­resources/­documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDGraph LabsBrytlytMobiland AGClaris infoa subsidiary of AppleGoogle
Initial release20172016201819832014
Current release5.0, August 20231.1.263, October 202219.4.1, November 20212.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache 2.0
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 CUDAJavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
WindowsiOS infoclient part only
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoA http query request can return the data in XML formatno
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyesnoyes infovia pluginsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
Proprietary client DLL
WinRT client
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
VB.Net
PHPJavaScript
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesno
Triggersnoyesno, except callback-events from server when changes happenedyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneProprietary Sharding systemnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDB
User concepts infoAccess controlnofine grained access rights according to SQL-standardWindows-Profilesimple rights management via user accounts and connection to external directory servicesno

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More resources
BadgerBrytlytDataFSFileMakerLovefield
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