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DBMS > Badger vs. Brytlyt vs. Faircom DB vs. PouchDB

System Properties Comparison Badger vs. Brytlyt vs. Faircom DB vs. PouchDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonPouchDB  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.JavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
Document store
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
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.faircom.com/­products/­faircom-dbpouchdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iodocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlpouchdb.com/­guides
DeveloperDGraph LabsBrytlytFairCom CorporationApache Software Foundation
Initial release2017201619792012
Current release5.0, August 2023V12, November 20207.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoRestricted, free version availableOpen Source
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++JavaScript
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
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema free, schema optional, schema required, partial schema,schema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI SQL Types, JSON, typed binary structuresno
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.nono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoyesyes, ANSI SQL with proprietary extensionsno
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
HTTP REST infoonly for PouchDB Server
JavaScript API
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
JavaScript
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyes info.Net, JavaScript, C/C++View functions in JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infowith a proxy-based framework, named couchdb-lounge
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).Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDtunable from ACID to Eventually Consistentno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardFine grained access rights according to SQL-standard with additional protections for filesno

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More resources
BadgerBrytlytFaircom DB infoformerly c-treeACEPouchDB
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