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DBMS > Badger vs. Brytlyt vs. Faircom DB vs. FileMaker vs. Ingres

System Properties Comparison Badger vs. Brytlyt vs. Faircom DB vs. FileMaker vs. Ingres

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonFileMaker  Xexclude from comparisonIngres  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 PostgreSQLNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Well established RDBMS
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational 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
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.faircom.com/­products/­faircom-dbwww.claris.com/­filemakerwww.actian.com/­databases/­ingres
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlwww.claris.com/­resources/­documentationdocs.actian.com/­ingres
DeveloperDGraph LabsBrytlytFairCom CorporationClaris infoa subsidiary of AppleActian Corporation
Initial release20172016197919831974 infooriginally developed at University Berkely in early 1970s
Current release5.0, August 2023V12, November 202019.4.1, November 202111.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoRestricted, free version availablecommercialcommercial
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 CUDAANSI C, C++C
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
iOS infoclient part only
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or datenoyesyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 infobut tools for importing/exporting data from/to XML-files available
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes, ANSI SQL with proprietary extensionsyes infovia pluginsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Filemaker WebDirect
JDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
PHP
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes info.Net, JavaScript, C/C++yesyes
Triggersnoyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnonehorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication, warm standby infosince Version 14Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDtunable from ACID to Eventually ConsistentnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardFine grained access rights according to SQL-standard with additional protections for filessimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard

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More resources
BadgerBrytlytFaircom DB infoformerly c-treeACEFileMakerIngres
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