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DBMS > Badger vs. CouchDB vs. Google Cloud Firestore vs. HugeGraph vs. LMDB

System Properties Comparison Badger vs. CouchDB vs. Google Cloud Firestore vs. HugeGraph vs. LMDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.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.A fast-speed and highly-scalable Graph DBMSA high performant, light-weight, embedded key-value database library
Primary database modelKey-value storeDocument storeDocument storeGraph DBMSKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score8.30
Rank#47  Overall
#7  Document stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Websitegithub.com/­dgraph-io/­badgercouchdb.apache.orgfirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
www.symas.com/­symas-embedded-database-lmdb
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­firestorehugegraph.apache.org/­docswww.lmdb.tech/­doc
DeveloperDGraph LabsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleBaiduSymas
Initial release20172005201720182011
Current release3.3.3, December 20230.90.9.32, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2commercialOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoErlangJavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Unix
Linux
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes
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.nonononono
Secondary indexesnoyes infovia viewsyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnonononono
APIs and other access methodsRESTful HTTP/JSON APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGoC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobsno
Triggersnoyesyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0Shardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nonoyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissionsno

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More resources
BadgerCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud FirestoreHugeGraphLMDB
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