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DBMS > Badger vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. PouchDB

System Properties Comparison Badger vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. PouchDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.JavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.postgresql.fastware.comfirebase.google.com/­products/­firestorepouchdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.postgresql.fastware.com/­product-manualsfirebase.google.com/­docs/­firestorepouchdb.com/­guides
DeveloperDGraph LabsPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleApache Software Foundation
Initial release201720172012
Current releaseFujitsu Enterprise Postgres 14, January 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCJavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesnoyesyesyes infovia views
SQL infoSupport of SQLnoyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsyes, Firebase Rules & Cloud FunctionsView functions in JavaScript
Triggersnoyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
BadgerFujitsu Enterprise PostgresGoogle Cloud FirestorePouchDB
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